Food

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	Food-101	Accuracy99.3	542
Image Classification	Food101	Accuracy95.3	457
Image Classification	Food (test)	Accuracy93.17	124
Image Classification	Food	Accuracy95.3	92
Image Classification	Food-101 (test)	Top-1 Acc96.879	89
Classification	Food101	Top-1 Accuracy96.2	69
Image Classification	Food-101N (test)	Top-1 Accuracy93.42	58
Base-to-novel generalization	Food 101	Base Score92.45	35
Image Classification	Food	Accuracy94.9	33
Cross-Domain Recommendation	Food Kitchen	HR@530.93	32
Image Classification	Food few-shot	Accuracy89	32
Criteria-conditioned Clustering	Food-4c OpenSMC	Clustering Accuracy (Criteria)90.6	30
Image Classification	Food101	Clean Accuracy90.8	25
Image-Text Classification	Food-101 (test)	Accuracy93.33	24
Image Classification	Food-101 (val)	Accuracy92.6	24
Zero-shot Object Detection	ZSFooD 1.0 (test)	Recall@1000.87	24
Zero-shot Classification	Food 101	Accuracy (Zero-shot)95.08	20
Federated Recommendation	Food	Recall35.92	18
Model Selection	Food	Weighted Kendall's Tau0.892	17
Recommendation	food	NDCG@1021.36	14
Fine-grained Classification	Food101	Base Accuracy90.84	13
Transferability Estimation	Food	Weighted Kendall's Tau0.815	13
Clustering	Food-101	ACC80.6	12
Image Classification	Food-100	Accuracy90.4	11
Visual Explanation	Food-101	AUC-D43.57	10

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