Food

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	Food-101	Accuracy99.3	570
Image Classification	Food101	Accuracy95.3	457
Image Classification	Food	Accuracy95.3	152
Image Classification	Food-101 (test)	Accuracy93.1	145
Image Classification	Food (test)	Accuracy93.17	128
Image Classification	Food	Accuracy94.9	91
Classification	Food101	Top-1 Accuracy96.2	69
Image Classification	Food-101N (test)	Top-1 Accuracy93.42	69
Base-to-novel generalization	Food 101	Base Score92.45	47
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
Class-Incremental Learning	Food	Average Accuracy90.41	20
Recommendation	Food	Recall@1011.078	20
Zero-shot Classification	Food 101	Accuracy (Zero-shot)95.08	20
Zero-shot Image Classification	Food	Zero-shot Accuracy81.16	18
Machine Unlearning	Food	Accuracy81.16	18
Federated Recommendation	Food	Recall35.92	18
Model Selection	Food	Weighted Kendall's Tau0.892	17
Image Classification	Food MDCII Order-II	Transfer Score92.7	15
Image Classification	Food101	Top-1 Clean Accuracy84.88	14

Showing 25 of 71 rows