I trained the TLT Detecnet_v2 with Stanford Drone Dataset. Before training I converted the Standford Drone Dataset’s Annotations to Kitti format and then I resized the all images as 960*540 and the corresponding bounding boxes. All of the strings(labels) are in lower case as recommended in the TLT Metropolis Documentation. I also changed the necessary stuffs in the spec folder/detectnet_v2_train_resnet18_kitti.txt w,th 250 epoch & 8 batch size.
However, here are the training results:
Validation cost: 0.000267
Mean average_precision (in %): 1.5709
class name average precision (in %)
I do not understand why his happened, could you please help me?
Thanks in advance