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Oxford Flowers

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationOxford Flowers 102
Accuracy99.56
234
Image ClassificationOxford Flowers-102 (test)
Top-1 Accuracy99.847
192
Image ClassificationOxford-Flowers
Top-1 Accuracy99.7
83
Image ClassificationOxford 102 Flowers
Top-1 Accuracy99.6
74
Image ClassificationOxford Flowers (test)
Accuracy99.65
73
Fine-grained Image ClassificationOxford Flowers
Accuracy97.7
49
Image ClassificationOxford Flowers
Base Accuracy99
39
Image ClassificationOxford 102 Flowers (test)
Mean Per-Class Accuracy99.1
34
Fine-grained classificationOxford Flowers 102
Accuracy76.9
31
Fine-grained Image ClassificationOxford Flowers (test)
Top-1 Accuracy99.7
24
Fine-grained Image ClassificationOxford 102 Flowers (test)
Accuracy99.5
23
Concept ErasureOxford Flowers (test)
Aer100
21
Image ClassificationOxford Flowers 102 (FLW)
Accuracy70.07
21
Image GenerationOxford Flowers
FID12.64
15
Few-shot ClassificationOxford Flowers
Accuracy99.48
15
Image ClassificationOxford Flowers 102
Base Accuracy98.17
13
Base-to-novel generalizationOxford Flowers
Base Accuracy98.29
13
Image ClassificationOxford Flowers zero-shot
Clean Accuracy75.8
11
Concept ErasureOxford Flowers Camellia
Accuracy (Target)100
11
Concept ErasureOxford Flowers Alpine Sea Holly
Accuracy (Test)100
11
Image Classification, OOD Detection, and Adversarial Attack DetectionOxford Flowers low-shot (ID) -> Deep Weeds (OOD) (test)
ID Accuracy (%)100
11
Image ClassificationOxford Flowers-102 (val)
Top-1 Accuracy98.9
9
Image ClassificationOxford Flowers 102 WRN16 (test)
Accuracy88.04
8
Conditional Image GenerationOxford-Flowers
gFID10.63
8
Image ClassificationFLO (Oxford Flowers) (unseen)
Accuracy71.9
8
Showing 25 of 47 rows