Share your thoughts, 1 month free Claude Pro on usSee more
WorkDL logo mark

Food101

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationFood101
Accuracy95.4
177
Image ClassificationFood101 (test)
Accuracy96.38
97
Image-to-image retrievalFood101
mAP87.53
95
Image ClassificationFood101
Base Accuracy91.8
69
Image ClassificationFood101
Robust Accuracy96.11
56
Fine-grained ClassificationFood101
Top-1 Acc94.7
52
Class-Incremental LearningFood101-LT rho=100 (test)
Accuracy36.84
48
Image ClassificationFood101 Base-to-new generalization
Accuracy (Base Classes)93.75
47
Category DiscoveryFood101
Accuracy (All)61.2
45
Image ClassificationFood101 novel classes
Accuracy0.9205
36
Multimodal ClassificationFOOD101 UPMC (train test)
Accuracy94.2
36
Image ClassificationFood101
Top-1 Accuracy96.38
33
Error DetectionFood101
AuROC99.92
29
OOD DetectionFood101
AUROC92.63
27
Fine-grained classificationFood101 (base classes)
Accuracy91.71
27
Image ClassificationFood101
Top-1 Accuracy92.33
24
Image ClassificationFood101N
Accuracy85.61
19
Image ClassificationFood101
AULC77.9
18
Image ClassificationFood101
Clean Accuracy87.2
17
Long-tailed Class-Incremental LearningFood101 LT
Accuracy34.7
16
Image ClassificationFood101 From Half LT (test)
Accuracy38.9
16
Image ClassificationFood101 H (harmonic mean)
Accuracy91.38
16
Image ClassificationFood101 Base
Top-1 Accuracy91.63
16
Image ClassificationFood101N Imbalance Factor 100, raw noise (test)
Top-1 Accuracy84.1
15
Image ClassificationFood101N Imbalance Factor 50, raw noise (test)
Top-1 Accuracy84.6
15
Showing 25 of 84 rows