Accuracy and Recall of pretrained model

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:

  1. TrafficCamNet (above)
  2. 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.

Can you share your setup with us?

AGX Xavier
DeepStream 5.0
JetPack 4.4

Changing to TLT forum.

For the recall result of trafficcamnet, please see



Thank you for the info. That’s the number I am looking for. Thanks.