mrdbourke/FoodExtract-1k-Vision
FoodExtract-1k-Vision Dataset to practice fine-tuning VLM models. Goal: Extract food/drink items from an image in a structured format. Input: Image (e.g. PIL or similar) Output: JSON with the structure below Examples: Input: Image of a car (not food). { 'is_food': 0, 'image_title': '', 'food_items': [], 'drink_items': [] } Input: Image of a salad (food). { 'is_food': 1, 'image_title': 'salad', 'food_items': ['tomato', 'black olive'… See the full description on the dataset page: https://huggingface.co/datasets/mrdbourke/FoodExtract-1k-Vision.
| Author / organization | mrdbourke |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 127 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 12 January 2026 |
| Last updated at source | 12 January 2026 |
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- 17 Oct 2026 Description: FoodExtract-1k-Vision Dataset to practice fine-tuning VLM models. Goal: Extract food/drink items from an image in a structured format. Input: Image (e.g. PIL or similar) Output: JSON with the structure below Examples: Input: Image of a car → FoodExtract-1k-Vision Dataset to practice fine-tuning VLM models. Goal: Extract food/drink items from an image in a structured format. Input: Image (e.g. PIL or similar) Output: JSON with the structure below Examples: Input: Image of a car
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