Food

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	Food-101	Accuracy99.3	494
Image Classification	Food101	Accuracy95.3	309
Image Classification	Food	Accuracy95.3	92
Image Classification	Food-101 (test)	Top-1 Acc96.879	89
Classification	Food101	Top-1 Accuracy96.2	51
Image Classification	Food (test)	Accuracy93.17	50
Image Classification	Food-101N (test)	Top-1 Accuracy93.42	48
Image Classification	Food101	Clean Accuracy90.8	25
Image-Text Classification	Food-101 (test)	Accuracy93.33	24
Zero-shot Object Detection	ZSFooD 1.0 (test)	Recall@1000.87	24
Image Classification	Food	Accuracy94.9	23
Base-to-novel generalization	Food 101	Base Score92.45	19
Federated Recommendation	Food	Recall35.92	18
Model Selection	Food	Weighted Kendall's Tau0.892	17
Image Classification	Food-101 (val)	Accuracy92.6	13
Fine-grained Classification	Food101	Base Accuracy90.84	13
Transferability Estimation	Food	Weighted Kendall's Tau0.815	13
Image Classification	Food-100	Accuracy90.4	11
Zero-shot Classification	Food 101	Accuracy (Zero-shot)95.08	11
Image Classification	Food 251 (test)	Top-1 Accuracy0.77	10
Uncertainty Quantification for Fine-grained Image Recognition	Food101 (test)	Accuracy @ 90% Rejection0.93	9
Hierarchical Agglomerative Clustering	food-101	AMI0.682	9
Recommendation	Food (test)	NDCG@200.0312	9
Taxonomy Expansion	Food SemEval-2015 Task 17	Mean Rank (MR)36.3	9
Learning with noisy labels	Food-101N noise ratio ~20% (test)	Top-1 Test Accuracy88	9

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