I am selecting pretrained model(s) from TLT/Deepstream SDK. I noticed that benchmark only report the accuracy and no recall score, for example:
Model Name / Network Architecture / Number of classes / Accuracy / Use Case
TrafficCamNet / DetectNet_v2-ResNet18 / 4 / 83.5% / Detect and track cars
I am interested on the following pretrained models:
- TrafficCamNet (above)
- resnet10 (in deepstream sdk: model-engine-file=/opt/nvidia/deepstream/deepstream-5.0/samples/models/Primary_Detector/resnet10.caffemodel_b1_gpu0_int8.engine)
I would like to pick the higher accuracy as well as higher recall model for my application. I wonder where can I find the accuracy and recall numbers for these two models. Please advise. Thanks a lot.