ibrahimdaud/

multi-label-food-recognition

This is a multi-label food recognition dataset generated from single-class food images. Each image contains 2-5 different food items composited together using natural composition methods.

Total Images: 13,000 Training Images: 10,400 (80%) Validation Images: 2,600 (20%) Number of Classes: 90 Labels per Image: 2-5 labels Image Format: RGB, 512x512 pixels File Format: Parquet

Each sample… See the full description on the dataset page: https://huggingface.co/datasets/ibrahimdaud/multi-label-food-recognition.