Tensorflow Object Detection Api Does Not Detect Objects Correctly/does Not Detect Objects At All

I have followed the entire steps/format of codes(cross checked multiple times to be 100% sure they are correct) and the required data for training custom objects on Tensorflow Obje

Solution 1:

Or should I train similar dimension images as in test frames for training as well? Will this help?

This is exactly what you need to do, given what you explained.

You should not expect a network trained on 300x300 images to work as intended on 1370x786 images. Specially if the object is already small in the big images.

Your train data has to be as similar as possible to your eval data, without enterning in the dangerous overfit zone. At least the images have to be of similar size and aspect ratio and from the same domain

Once you have solved this, have in mind that small objects are really hard to detect so you will probably need to modify the default model configuration.

If you don't have real-time constraints I would recommend you to start by trying a Faster-RCNN setting the output_stride parameter to 8 instead of 16.