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Food-101 Dataset

Contributors: Lukas Bossard, Matthieu Guillaumin, Luc Van Gool
Datarows: 16,628
images
image-classification

The Food-101 dataset consists of 101 food categories with 750 training and 250 test images per category, making a total of 101k images. The labels for the test images have been manually cleaned, while the training set contains some noise. Learn more about the dataset here.


Related article: Food-101 – Mining Discriminative Components with Random Forests (Bossard et al.)

License
CC-BY-SA (see more)