EduardoPacheco/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.… See the full description on the dataset page: https://huggingface.co/datasets/EduardoPacheco/FoodSeg103.
| Author / organization | EduardoPacheco |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.7K (as reported by Hugging Face) |
| Likes | 19 |
| Created | 22 July 2023 |
| Last updated at source | 29 April 2024 |
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- 16 Oct 2026 Description: 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 fro → 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 fro
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