Please provide the following information when requesting support.
• Hardware (T4/V100/Xavier/Nano/etc) : RTX 3060
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc) : Detectnet_v2
• TLT Version (Please run “tlt info --verbose” and share “docker_tag” here): 3.22.05
I would like to know whether TAO models are pretrained or not.
Because TAO document said pretrained models with custom data can produce highly accurate model.
I tried detectnet v2 with 2000 images, which produce 71.82% accuracy. (2 classes: helmet: 82.64%, person: 61.00%)
I’m not sure this result benefits from pretrained model or not.
Another issue is, I use 8000 images to train detectnet v2, but I got worse result: 60.25%(helmet: 72.11%, person: 48.40%)
I would be very grateful if you could give me some hints or feedbacks.