mrdbourke/DataComp-1B-food-and-drink-3M
DataComp-1B Food and Drink 3M ~3,108,047 food and not-food images extracted from Recap-DataComp-1B, each classified by three independent signals and accompanied by SigLIP2 embeddings (1,152-dim). Built for training food/drink classifiers, building FAISS search indices, and as a foundation for the Nutrify VLM — an on-device vision-language model for nutrition tracking. How this dataset was made The problem Recap-DataComp-1B contains 1 billion… See the full description on the dataset page: https://huggingface.co/datasets/mrdbourke/DataComp-1B-food-and-drink-3M.
| Author / organization | mrdbourke |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 159 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 24 March 2026 |
| Last updated at source | 25 March 2026 |
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- mrdbourke/food-not-food-classifier-csatv2-v2Model · used to train
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