I expected the larger model, 640m.onnx, to detect more compared to the 320n.onnx model, albeit with a longer processing time. While it indeed takes longer, I was surprised to find that it detects fewer nudes. In my test with around 1,000 images, the large model detected 640 instances, whereas the smaller model detected 707. The large model clearly missed some images that were obviously nude. It is not due to improved false positives. Has anyone else experienced this issue or have any tips on how to investigate it?
I expected the larger model, 640m.onnx, to detect more compared to the 320n.onnx model, albeit with a longer processing time. While it indeed takes longer, I was surprised to find that it detects fewer nudes. In my test with around 1,000 images, the large model detected 640 instances, whereas the smaller model detected 707. The large model clearly missed some images that were obviously nude. It is not due to improved false positives. Has anyone else experienced this issue or have any tips on how to investigate it?