DetectNet v2 18 Layers for Character Recognition (35 Classes)

Hi, there!
We have this idea to perform character detection and recognition using DetectNet v2 18. The classes total will be around 35 classes (we excluded “o” from the classes).

Below are the specs of our training:

random_seed: 42
dataset_config {
  data_sources {
    tfrecords_path: "/workspace/tlt-experiments/tfrecords/OCR_trainval/*"
    image_directory_path: "/workspace/tlt-experiments/data_kitti/training"
  }
  image_extension: "png"
  target_class_mapping {
    key: "a"
    value: "a"
  }
  target_class_mapping {
    key: "b"
    value: "b"
  }
  target_class_mapping {
    key: "c"
    value: "c"
  }
  target_class_mapping {
    key: "d"
    value: "d"
  }
  target_class_mapping {
    key: "e"
    value: "e"
  }
  target_class_mapping {
    key: "f"
    value: "f"
  }
  target_class_mapping {
    key: "g"
    value: "g"
  }
  target_class_mapping {
    key: "h"
    value: "h"
  }
  target_class_mapping {
    key: "i"
    value: "i"
  }
  target_class_mapping {
    key: "j"
    value: "j"
  }
  target_class_mapping {
    key: "k"
    value: "k"
  }
  target_class_mapping {
    key: "l"
    value: "l"
  }
  target_class_mapping {
    key: "m"
    value: "m"
  }
  target_class_mapping {
    key: "n"
    value: "n"
  }
  target_class_mapping {
    key: "p"
    value: "p"
  }
  target_class_mapping {
    key: "q"
    value: "q"
  }
  target_class_mapping {
    key: "r"
    value: "r"
  }
  target_class_mapping {
    key: "s"
    value: "s"
  }
  target_class_mapping {
    key: "t"
    value: "t"
  }
  target_class_mapping {
    key: "u"
    value: "u"
  }
  target_class_mapping {
    key: "v"
    value: "v"
  }
  target_class_mapping {
    key: "w"
    value: "w"
  }
  target_class_mapping {
    key: "x"
    value: "x"
  }
  target_class_mapping {
    key: "y"
    value: "y"
  }
  target_class_mapping {
    key: "z"
    value: "z"
  }
  target_class_mapping {
    key: "zero"
    value: "zero"
  }
  target_class_mapping {
    key: "one"
    value: "one"
  }
  target_class_mapping {
    key: "two"
    value: "two"
  }
  target_class_mapping {
    key: "three"
    value: "three"
  }
  target_class_mapping {
    key: "four"
    value: "four"
  }
  target_class_mapping {
    key: "five"
    value: "five"
  }
  target_class_mapping {
    key: "six"
    value: "six"
  }
  target_class_mapping {
    key: "seven"
    value: "seven"
  }
  target_class_mapping {
    key: "eight"
    value: "eight"
  }
  target_class_mapping {
    key: "nine"
    value: "nine"
  }
  validation_fold: 0
}
augmentation_config {
  preprocessing {
    output_image_width: 832
    output_image_height: 320
    min_bbox_width: 1.0
    min_bbox_height: 1.0
    output_image_channel: 3
  }
  spatial_augmentation {
    zoom_min: 1.0
    zoom_max: 1.0
    translate_max_x: 8.0
    translate_max_y: 8.0
  }
  color_augmentation {
    hue_rotation_max: 25.0
    saturation_shift_max: 0.20000000298
    contrast_scale_max: 0.10000000149
    contrast_center: 0.5
  }
}
postprocessing_config {
  target_class_config {
    key: "a"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "b"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "c"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "d"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "e"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "f"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "g"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "h"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "i"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "j"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "k"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "l"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "m"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "n"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "p"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "q"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "r"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "s"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "t"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "u"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "v"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "w"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "x"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "y"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "z"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "zero"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "one"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "two"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "three"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "four"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "five"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "six"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "seven"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "eight"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
  target_class_config {
    key: "nine"
    value {
      clustering_config {
        coverage_threshold: 0.00499999988824
        dbscan_eps: 0.20000000298
        dbscan_min_samples: 0.0500000007451
        minimum_bounding_box_height: 20
      }
    }
  }
}
model_config {
  pretrained_model_file: "/workspace/tlt-experiments/pretrained_resnet18/tlt_resnet18_detectnet_v2_v1/resnet18.hdf5"
  num_layers: 18
  use_batch_norm: true
  activation {
    activation_type: "relu"
  }
  objective_set {
    bbox {
      scale: 35.0
      offset: 0.5
    }
    cov {
    }
  }
  training_precision {
    backend_floatx: FLOAT32
  }
  arch: "resnet"
}
evaluation_config {
  validation_period_during_training: 10
  first_validation_epoch: 1
  minimum_detection_ground_truth_overlap {
    key: "a"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "b"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "c"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "d"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "e"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "f"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "g"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "h"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "i"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "j"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "k"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "l"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "m"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "n"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "p"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "q"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "r"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "s"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "t"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "u"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "v"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "w"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "x"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "y"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "z"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "zero"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "one"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "two"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "three"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "four"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "five"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "six"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "seven"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "eight"
    value: 0.5
  }
  minimum_detection_ground_truth_overlap {
    key: "nine"
    value: 0.5
  }
  evaluation_box_config {
    key: "a"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "b"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "c"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "d"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "e"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "f"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "g"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "h"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "i"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "j"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "k"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "l"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "m"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "n"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "p"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "q"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "r"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "s"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "t"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "u"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "v"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "w"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "x"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "y"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "z"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "zero"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "one"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "two"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "three"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "four"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "five"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "six"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "seven"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "eight"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  evaluation_box_config {
    key: "nine"
    value {
      minimum_height: 20
      maximum_height: 9999
      minimum_width: 10
      maximum_width: 9999
    }
  }
  average_precision_mode: INTEGRATE
}
cost_function_config {
  target_classes {
    name: "a"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "b"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "c"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "d"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "e"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "f"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "g"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "h"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "i"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "j"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "k"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "l"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "m"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "n"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "p"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "q"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "r"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "s"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "t"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "u"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "v"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "w"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "x"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "y"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "z"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "zero"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "one"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "two"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "three"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "four"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "five"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "six"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "seven"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "eight"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "nine"
    class_weight: 1.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  enable_autoweighting: true
  max_objective_weight: 0.999899983406
  min_objective_weight: 9.99999974738e-05
}
training_config {
  batch_size_per_gpu: 4
  num_epochs: 150
  learning_rate {
    soft_start_annealing_schedule {
      min_learning_rate: 5e-06
      max_learning_rate: 5e-04
      soft_start: 0.10000000149
      annealing: 0.699999988079
    }
  }
  regularizer {
    type: L1
    weight: 3.00000002618e-09
  }
  optimizer {
    adam {
      epsilon: 9.99999993923e-09
      beta1: 0.899999976158
      beta2: 0.999000012875
    }
  }
  cost_scaling {
    initial_exponent: 20.0
    increment: 0.005
    decrement: 1.0
  }
  checkpoint_interval: 10
}
bbox_rasterizer_config {
  target_class_config {
    key: "a"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "b"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "c"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "d"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "e"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "f"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "g"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "h"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "i"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "j"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "k"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "l"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "m"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "n"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "p"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "q"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "r"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "s"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "t"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "u"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "v"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "w"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "x"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "y"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "z"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "zero"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "one"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "two"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "three"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "four"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "five"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "six"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "seven"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "eight"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  target_class_config {
    key: "nine"
    value {
      cov_center_x: 0.5
      cov_center_y: 0.5
      cov_radius_x: 1.0
      cov_radius_y: 1.0
      bbox_min_radius: 1.0
    }
  }
  deadzone_radius: 0.400000154972
}

This is my validation cost for each epoch:

Epoch 1/150
=========================

Validation cost: 0.000172
Mean average_precision (in %): 0.1380

class name      average precision (in %)
------------  --------------------------
a                            1.18977
b                            0.000670547
c                            0
d                            0.0021093
e                            0.146221
eight                        1.59756
f                            0
five                         0.00110909
four                         0.00154823
g                            0.162082
h                            0.000517966
i                            0
j                            0
k                            0.0300903
l                            0
m                            0.0429045
n                            0.00100402
nine                         0.100871
one                          0.16408
p                            0
q                            0
r                            0.0691893
s                            0.0273741
seven                        0.6563
six                          0.0282418
t                            0
three                        0.0752139
two                          0.0660339
u                            0
v                            0
w                            0.00405961
x                            0
y                            0
z                            0
zero                         0.462199

Epoch 11/150
=========================

Validation cost: 0.000042
Mean average_precision (in %): 11.8013

class name      average precision (in %)
------------  --------------------------
a                                61.8694
b                                 0
c                                 0
d                                 0
e                                 0
eight                            33.213
f                                 0
five                             22.6798
four                              0
g                                 0
h                                 0
i                                 0
j                                 0
k                                 0
l                                 0
m                                 0
n                                 0
nine                             26.7809
one                              73.1699
p                                 0
q                                 0
r                                 0
s                                 0
seven                            63.6912
six                              21.5929
t                                 0
three                            31.8103
two                              38.5451
u                                 0
v                                 0
w                                 0
x                                 0
y                                 0
z                                 0
zero                             39.692

Epoch 21/150
=========================

Validation cost: 0.000040
Mean average_precision (in %): 23.5290

class name      average precision (in %)
------------  --------------------------
a                              92.702
b                               5.96042
c                              15.1809
d                               9.29706
e                               0.93238
eight                          65.9862
f                               0.089329
five                           53.0326
four                            1.74415
g                               5.21551
h                               0.63429
i                               0
j                               6.71468
k                              19.589
l                              10.567
m                              21.0408
n                              19.3321
nine                           28.913
one                            84.6
p                               5.905
q                               3.15296
r                               2.91622
s                               4.20946
seven                          88.9715
six                            28.2543
t                              10.5377
three                          57.0328
two                            80.3544
u                               1.64927
v                               0.463423
w                               8.47342
x                              12.7357
y                               4.67456
z                               0
zero                           72.6517

Epoch 31/150
=========================

Validation cost: 0.000029
Mean average_precision (in %): 21.9510

class name      average precision (in %)
------------  --------------------------
a                             96.7257
b                              8.406
c                              9.75537
d                              8.21308
e                              0.285714
eight                         54.6686
f                              0
five                          46.6173
four                           0
g                              1.28309
h                              0.854701
i                              0
j                              0.404135
k                             10.7206
l                              0.269006
m                             15.3079
n                              8.26294
nine                          28.2802
one                           88.8418
p                              1.63612
q                              0
r                              4.78647
s                              4.20331
seven                         96.1231
six                           29.5714
t                             13.8985
three                         61.594
two                           92.4074
u                              0
v                              0
w                              1.83532
x                              3.63711
y                              3.25851
z                              0.0757576
zero                          76.3624

Epoch 41/150
=========================

Validation cost: 0.000029
Mean average_precision (in %): 21.5202

class name      average precision (in %)
------------  --------------------------
a                             96.9115
b                             10.2614
c                              9.32018
d                              0.570437
e                              0.757576
eight                         53.9793
f                              0.0744048
five                          36.0021
four                           0
g                              0.0431406
h                              0
i                              0
j                              0
k                             10.53
l                              0.0637959
m                              6.9336
n                              8.7828
nine                          28.258
one                           91.8441
p                              5.51621
q                              0
r                              4.29824
s                              8.92167
seven                         93.7126
six                           25.2564
t                             11.4327
three                         76.4001
two                           95.3756
u                              0
v                              0
w                              1.02339
x                              0.351035
y                              5.39916
z                              0.506329
zero                          70.6821

Epoch 51/150
=========================

Validation cost: 0.000029
Mean average_precision (in %): 20.7965

class name      average precision (in %)
------------  --------------------------
a                               98.2846
b                                6.86915
c                                3.72337
d                                6.79137
e                                0
eight                           59.9766
f                                0
five                            38.9678
four                             0
g                                0
h                                0
i                                0
j                                0
k                                3.14123
l                                0
m                                5.30696
n                                0
nine                            30.0484
one                             87.5423
p                                2.58922
q                                0
r                                3.3287
s                                0
seven                           96.0294
six                             30.3261
t                               10.2118
three                           78.2004
two                             92.8943
u                                0
v                                0
w                                0
x                                0
y                                1.26582
z                                0
zero                            72.3804

We found out that some of the classes don’t have good precision. And actually, based on the current epoch, the mAP is increasing. So my hypothesis is that DetectNet 18 is suitable for a limited number of classes and not suitable for character recognition. So, is this the correct assumption? Or do you have any suggestions of architecture that we may use for character recognition? I would appreciate any ideas.

Best regards,
Jeff

Hi Jeff,
There is not a limited number of classes for tlt detectnet_v2 training.
For multi-classes training, as your mentioned characters recognition, suggest checking each class ratio from the dataset side.
Then tweak each class_weight in the training spec file and trigger more experiments.

Hi, Morganh.
Thank you for your answer. Yet, I have another concern. Is the DetectNet in Transfer Learning Toolkit (TLT) the same as the DIGITS Deep Learning Framework? Or should I train my character recognition in DIGITS rather than TLT? I found out that DetectNet originally is written in Caffe, and my guess is that since TLT uses Tensorflow, it might not be a perfect fit for the job?

Best regards,
Jeff

Is the DetectNet in Transfer Learning Toolkit (TLT) the same as the DIGITS Deep Learning Framework
==> No, it is not the same

should I train my character recognition in DIGITS rather than TLT?
==> Suggest you to try both TLT and DIGITS.
For TLT, please trigger more training experiments.

As it turns out, trigger more experiments in TLT worked just fine. I got this result:

Validation cost: 0.000114
Mean average_precision (in %): 98.4867

class name      average precision (in %)
------------  --------------------------
a                                98.9054
b                                98.913
c                                98.9247
d                                98.8636
e                                98.6842
eight                            99.495
f                                98.4127
five                             99.5339
four                             97.6744
g                                98.7952
h                                97.8299
i                                92.8571
j                                98.3607
k                                98.8636
l                                98.8235
m                                99.2308
n                                98.7654
nine                             99.4046
one                              97.8877
p                                99.0991
q                                97.6744
r                                98.8636
s                                98.6842
seven                            98.5333
six                              99.0246
t                                98.7342
three                            98.7219
two                              99.3321
u                                97.9167
v                                97.2973
w                                98.6842
x                                98.5915
y                                98.2456
z                                98.0392
zero                             99.3676

Thank you very much.

Best regards,
Jeff

Great result, jefflgaol!
May I know the ratio of each class in training dataset? And could you share how do you tweak your training spec, such as class_weight, etc?

This is my training dataset:

seven: 3500
one: 2960
four: 560
zero: 3270
six: 4100
three: 4200
u: 470
five: 3470
two: 3850
x: 660
a: 2780
c: 1040
b: 1020
e: 630
d: 790
g: 880
f: 590
i: 100
h: 620
k: 760
j: 640
m: 1300
l: 780
n: 730
q: 480
p: 1060
s: 800
r: 960
nine: 3770
t: 800
w: 720
v: 370
y: 620
eight: 4220
z: 550

And I tweaked the class_weight like this:

cost_function_config {
  target_classes {
    name: "a"
    class_weight: 1.8
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "b"
    class_weight: 4.9
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "c"
    class_weight: 4.8
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "d"
    class_weight: 6.3
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "e"
    class_weight: 8.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "f"
    class_weight: 8.5
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "g"
    class_weight: 5.7
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "h"
    class_weight: 8.1
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "i"
    class_weight: 50.4
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "j"
    class_weight: 7.8
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "k"
    class_weight: 6.6
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "l"
    class_weight: 6.4
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "m"
    class_weight: 3.9
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "n"
    class_weight: 6.9
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "p"
    class_weight: 4.8
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "q"
    class_weight: 10.5
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "r"
    class_weight: 5.2
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "s"
    class_weight: 6.3
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "t"
    class_weight: 6.3
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "u"
    class_weight: 10.6
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "v"
    class_weight: 13.6
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "w"
    class_weight: 7.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "x"
    class_weight: 7.6
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "y"
    class_weight: 8.1
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "z"
    class_weight: 9.1
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "zero"
    class_weight: 1.5
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "one"
    class_weight: 1.7
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "two"
    class_weight: 1.3
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "three"
    class_weight: 1.2
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "four"
    class_weight: 9.0
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "five"
    class_weight: 1.4
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "six"
    class_weight: 1.2
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "seven"
    class_weight: 1.4
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "eight"
    class_weight: 1.2
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  target_classes {
    name: "nine"
    class_weight: 1.3
    coverage_foreground_weight: 0.0500000007451
    objectives {
      name: "cov"
      initial_weight: 1.0
      weight_target: 1.0
    }
    objectives {
      name: "bbox"
      initial_weight: 10.0
      weight_target: 10.0
    }
  }
  enable_autoweighting: true
  max_objective_weight: 0.999899983406
  min_objective_weight: 9.99999974738e-05
}

Thanks for your sharing, jefflgaol.
More question, from your spec, your images resolution is

output_image_width: 832
    output_image_height: 320

How about the average character size inside the images? I think you can simply check this via monitoring the detected BBOX’s width and height.

My result looks like these:
a 0.00 0 0.00 234.662 38.285 347.219 259.491 0.00 0.00 0.00 0.00 0.00 0.00 0.00 54.801
k 0.00 0 0.00 121.763 33.187 235.329 261.564 0.00 0.00 0.00 0.00 0.00 0.00 0.00 73.059

So it’s about width: 100, height: 200.

Best regards,
Jeff

Thanks jefflgaol for the info.