FoodSeg103 Food Image Segmentation Dataset
Date
3 years ago
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其他
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FoodSeg103 is a new food image dataset containing 7,118 images (4,983 training images and 2,135 test images) and annotations of 104 ingredient categories, with an average of 6 annotations and pixel-level masks per image. This dataset provides a large-scale benchmark for food image segmentation.
The main challenges of this dataset are:
- High intra-variance of the same food ingredient with different cooking methods
- Long-tail distribution
- Complex contexts