I’m working on a project on which I need to train a personal model based on ssd-inception-v2 with my own dataset which is composed of images which were labelised by myself but also images from the coco dataset. The model is trained to detect one class for the moment. I’m posting here to get some help/advice about the training part. In fact, it has been days since I’ve been trying to train my model but the mAP of it never get beyond 35% and the loss always oscillate between 4.5 and 6 after the 100 first epoch toward the end of the training. No matter what parameter I try to change in my model’s config file, the issue is still here and I’m running out of idea. If you guys could give me any advice, I would really apreciate it.