Oli:

In the official Yolov3 repo, the author used an object score threshold of ~0.25 to decide if the bounding box should be considered


Where as i am using a threshold of .30 for filtering the predictions



 Oli:

So I’d advise you to not try to increase the object score but rather find the sweet-spot for the threshold


Okay , will take that into consideration .



 Oli:

Maybe I’m missing something in why you’d like to increase the object score so feel free to explain


the reason is very intuitive , after training yolo for around 10000 epochs , if i get a object score of 0.3 or 0.4 , i felt something is wrong with the training as i was expecting the score to be much more than this because of the loss being so very less (close to 0.05). Please feel free to correct me or add something.
thanks