FoodSeg103

홈페이지 · 논문 19편

FoodSeg103 is a new food image dataset containing 7,118 images. Images are annotated with 104 ingredient classes and each image has an average of 6 ingredient labels and pixel-wise masks. It's provided as a large-scale benchmark for food image segmentation. Major Challenges: 1. High intra-variance of the same food ingredient with different cooking methods 2. Long-tail distribution 3. Complicated contexts Image source: https://arxiv.org/pdf/2105.05409v1.pdf

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