I'm currently trying to work on the challenge https://www.kaggle.com/c/noaa-right-whale-recognition; I've done basic image recognition work before (Identifying plankton), but this particular challenge requires an additional step: identifying where exactly the whale is in the given photograph, so as to bring the photo size down to a manageable chunk.
I've gone through and drawn rectangular annotations around the whales in the images; however, I'm not clear on how to proceed from here (or whether this was a useful step), and am new to the area, so I don't even have adequate knowledge of the proper terminology to do useful searches.
This appears to be what I gather is referred to as a segmentation problem, but that literature seems to be almost entirely unsupervised, and it's not clear how I would identify and extract the correct segment. I would appreciate pointers to literature/tutorials in the area, especially ones that address:
- Variable input image sizes
- Utilizing existing supervised information.