FoodSeg103

Introduced by Wu et al. in A Large-Scale Benchmark for Food Image Segmentation

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

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