EduardoPacheco/FoodSeg103 download history
EduardoPacheco/FoodSeg103 is an image segmentation dataset on the Hugging Face Hub. In the last 30 days it was downloaded 1,114 times (386 in the last 7 days), and 36,987 times in total. It ranks #17,830 among datasets by monthly downloads.
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 b
Models trained on FoodSeg103
4 models list it as training data.
- mccaly/test2 32 downloads in 30 days
- kris-0918/lidar-food-measurable-yolo11n-seg 15 downloads in 30 days
- ilydise/binary-food-non-food-classifier 1 downloads in 30 days
- JasonGong111/SAM4Food – downloads in 30 days