avnishs17/food_not_food
Food vs Not Food Dataset (from Hugging Face ImageNet-1K) This dataset is a binary classification subset derived from the Hugging Face imagenet-1k dataset. It is curated to support the task of distinguishing food images from non-food images. 📦 Dataset Overview Source: imagenet-1k on Hugging Face Datasets Classes: food: 40 selected ImageNet classes representing food items (e.g., pizza, banana, hotdog) not_food: 40 selected classes not related to food (e.g., car, clock… See the full description on the dataset page: https://huggingface.co/datasets/avnishs17/food_not_food.
| Author / organization | avnishs17 |
|---|---|
| License (as declared) | mit |
| Downloads | 197 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 19 May 2025 |
| Last updated at source | 7 July 2025 |
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