Food-101N

The Food-101N dataset is introduced in "CleanNet: Transfer Learning for Scalable Image Training with Label Noise (CVPR'18). It is an image dataset containing about 310,009 images of food recipes classified in 101 classes (categories). Food-101N and the Food-101 dataset share the same 101 classes, whereas Food-101N has much more images and is more noisy.

Food-101N is designed for the following two tasks: 1)Learning image classification with label noise 2)Label noise detection