Validation loss is fluctuating, first 20 epochs it is decreasing then fluctuating but decreasing is continuous.
Val loss always a bit lower than training loss, i think it is because of augmentation.
Yes, it is the most interesting part, i have added the photos of the problematic objects to the training dataset, when i show them as a test input, it does not say it positive, but if i show them with my camera it gives false positives also it say positive to the full black area when i close the camera lens , i am really confusing.