Training a detector on images with no target bounding boxes seems a common and necessary task, but doesn't seem currently possible with Matlab. Any workarounds?
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As others have run into this issue repeatedly and Mathworks tech support told me they're working on it, but has anyone devised any workarounds in the meantime? I haven't thought of any way to get around this problem. Tech support suggested pasting a dummy target in each image but with blockedImages that's simply not possible. You'd have to paste tons of fake targets all over the image just to work around this issue. I suppose another way is to create a dummy "stuff" category, but that will increase the network size and complexity with no benefit other than Matlab won't crash when you try to train it. I simply cannot imagine it's that hard to just tell the classifier "there's no target in this image", it does that for most of the image anyway, why not the whole image?
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Image Analyst
on 30 Nov 2022
Not sure what you're asking. Are you asking to train a network but without having ground truth?
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