What is the ideal loss value?

[offchan42]

What is the ideal loss value for darkflow during training? Because there is no option to evaluate loss on a validation set, knowing this value should be useful.

Is it similar to this repository? https://github.com/AlexeyAB/darknet It stated that we should stop training when the average loss is around 0.060370. But I'm skeptical because I suspect that the loss calculation mechanism might be different.

[Pele324]

I trained yolov2.cfg on my own dataset for object detection and I got some OK predictions(about 50% accuracy). The avg loss stopped decreasing at around 2. I trained yolov2-voc.cfg on the Pascal VOC dataset with the initialization of pre-trained weights(yolov2-voc.weights) and the avg loss stopped decreasing around 3. I didn't look at the code but I think you are right that loss calculation of darkflow is different from darknet.

[offchan42]

I got 0.3 loss using darknet and the mAP was about 50% to 60%. So it was quite good for me. Maybe the loss is dataset-specific. I don't know.

[Malouke]

hi off99555, you can give us more details pls . how many images learning rate epochs batch subdivision.... thx

[offchan42]

I got 4,000 images, everything else is set to default. I had done the training job a long time ago.

[alansoliditydev]

I trained yolov2.cfg on my own dataset for object detection and I got some OK predictions(about 50% accuracy). The avg loss stopped decreasing at around 2. I trained yolov2-voc.cfg on the Pascal VOC dataset with the initialization of pre-trained weights(yolov2-voc.weights) and the avg loss stopped decreasing around 3. I didn't look at the code but I think you are right that loss calculation of darkflow is different from darknet.

yes, me too. my loss calculated around 1.6 to 2.5 but the result show quite decent performance.