hey there @Oli



 Oli:

What kind of problems are you thinking of?


well problems like underfitting , overfitting , gradient exploding , loss not decreasing e.t.c. i have encountered gradient exploding , loss not decreasing problem when i started training. though founded a workaround for these by doing some changes in the loss function . Now  i am facing overfitting.



 Oli:

5000 images are quite low - especially without pre-training.


ohhh , when i was going through the various online sources for the “amount of instances required to train yolov2” , they mentioned around 2000 for each class and since this a just a one class problem (precisely two class face and non face) , i thought  5000 was enough , but i guess they mentioned it with pretrained weights which i clearly failed to take under consideration. what number do u suggest for a problem like this.?



 Oli:

I’d say yes, but it depend on your model behaviour. Does it predict faces everywhere (false positive) or struggle to find the real faces?


some times it predicts faces other than original too , but  i have this big problem of not getting the object detection score as high as desired for the predicted and non predicted bb’s. i mean the class confidence score is  1 most of the times , but object detection score is not as high as desired (around 0.2-0.4) for some and around 0.7 also for some(but 0.7 is rare) and get combined confidecne score i am taking the product of class confidence and object detection score which turns out to be very less. i believe because of this low object detection score i am not able to get all the bounding boxes in the image. Can you please let me know what do u think about this problem i am facing.



 Oli:

Yup 


for accuracy metrics currently i am doing it manually , i.e running batches of training and validation images after training and looking at the results. After testing the batch on some 1000 images from training and validation batch , training results are far better than validation one. And currently i am working on a script to get MAp and recall for the validation image testing.
i know i have asked a lot of questions here ,and  i am truly thankful to u for ur replies , it helps a lot.
thanks