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.
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.