I want to use
darkflow to perform object detection. I have 5 classes of objects I want to detect, say ,
I want to specifically train my model again, not use pre-trained weights. I plan to train it on images which are annotated with bounding boxes. But all available datasets like imagenet, COCO have images that have objects of other classes also annotated in them. So how can I use these datasets to train specifically on my 5 classes? I don't want my model training on all the other objects in the images.