Datasets › Food-101N
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
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Classification | Food-101N | LRA-diffusion (CLIP ViT) Accuracy 93.42 | Label-Retrieval-Augmented Diffusion Models for Learning... | puar-playground/lra-diffusion | 4 | Compare |
Papers archive 2025-07-28
4 shown of 4 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 6. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| SURE: SUrvey REcipes for building reliable and robust deep networks | 1 | 1 | 1 Mar 2024 | ran 5 of 6 samples (1 unverified; 6 pointer-only for licence) |
| Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels | 1 | 1 | 31 May 2023 | ran 7 of 9 samples (2 unverified) |
| LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment | 1 | 1 | 6 Mar 2021 | not harvested |
| CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise | 3 | 1 | 20 Nov 2017 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
No variants listed.
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