thanks for your reply ,
I will surely try to train with pretrained weights as well , and compare the results.
yesterday started training with 10000 images and yes the overfitting is very less now, also i am getting good prediction whenever i am getting them . its still skipping faces here and there and also the object score is less but i guess its just the matter of more data and maintaining your learning rate. I would also like to experiment with optimzers, i am using tensorflow and low level api calls , so instead of using adam (current optimizer) , i will train with SGD also with varying LR’s and comapre the results.
As far as Object score is considered , yes it is still low and does not seem to increase and this is one area where i am not getting any ideas of how to increase it, and class scores are always very close to 1 so neglecting them doesnt make any difference, tho it makes sense to treat it as one class problem which i started with earlier stages , but then thought of using the same model with different domains of problems and not just one class problem so converted it back to multi class model.
If any thing comes in your mind to increase the object score please lemme know.
I will surely look into that repo for mAP .
thanks