FoodSeg103

Dataset Card for FoodSeg103 Dataset Summary FoodSeg103 is a large-scale benchmark for food image segmentation. It contains 103 food categories and 7118 images with ingredient level pixel-wise annotations. The dataset is a curated sample from Recipe1M and annotated and refined by human annotators. The dataset is split into 2 subsets: training set, validation set. The training set contains 4983 images and the validation set contains 2135 images. Supported Tasks… See the full description on the dataset page:

Source: Hugging Face Hub (EduardoPacheco/FoodSeg103). Metadata imported from the dataset’s Hub tags.