Accuracy too low for custom dataset

[funmonty]

Hi,

I have done transfer learning for object detection using the pretrained model given in the website. These are the parameters for my scenario :

Num of classes : 2
Dataset : Custom
Num of train images : 6700
Num of test images : 1500
Iterations : 5000
max_lr : 0.001

With these parameters, I am able to achieve only 0.1732 accuracy. Can you please point out why it is too low and where should I tweak it? How many iterations would be ideal?