Food-101

Benchmarks

Task Name	Dataset Name	SOTA Result
Multimodal Multiclass Classification	FOOD-101 (test)	Accuracy94.6	45
Visual Recognition	Food-101	Top-1 Acc99.3	16
Image Classification	Food-101 (test)	Accuracy78.38	15
Fine-grained Visual Categorization	Food-101 (test)	Accuracy98.6	15
Classification	UPMC Food-101 imbalance ratio r=100 (test)	Overall Accuracy20.22	13
Classification	UPMC Food-101 imbalance ratio r=20 (test)	Overall Accuracy34.81	13
Image Classification	Food-101 Full	Top-1 Accuracy90	12
Image Classification	Food-101 10 samples/class	Top-1 Accuracy82.5	12
Image Classification	Food-101 LT	Avg Class Recall49	12
Out-of-distribution Discovery	Food-101	Discovery Rate95.9	11
Label Noise Detection	Food-101N (val)	Average Error Rate6.99	11
Image Classification	Food-101N r ≈ 20% (test)	Accuracy86.4	10
Label Noise Detection	Food-101N verified (val)	Error Rate6.99	10
Clustering	Food-101	ARI0.478	9
Out-of-Distribution Detection	Food-101N	AUROC97.7	7
Image Classification	Food-101 16K sequence length (test)	Train runtime (s)891	7
Image Classification	Food-101 all-to-all	Accuracy86.3	7
Out-of-Distribution Detection	Food-101 (test)	iNaturalist FPR951.31	7
Multimodal Classification	FOOD-101 Hard (test)	Accuracy93.4	7
Out-of-Distribution Retrieval	Food-101 OOD (test)	AR@190.6	6
Fine-grained retrieval	Food-101 (test)	Recall@195.4	6
Fine-Grained Classification	Food-101 (test)	Accuracy84.7	5
Multimodal Classification	UPMC Food-101 (val)	Accuracy80.39	5
Image Classification	Food-101N 25k (test)	Top-1 Accuracy85.78	5
OOD Detection	Food-101 Four-OOD	AUROC0.9999	4

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