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What is the best approach to train object detection to efficiently detect floor type in an image (e.g., hardwood floor, tile floor, etc.)? I don't need a full mask or bounding box, I just need to highlight a single pixel on the floor and tell the floor type (e.g., hardwood floor). I hope to have a method with the least annotation effort that works.

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