Oxford Flowers

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	Oxford Flowers 102	Accuracy99.56	234
Image Classification	Oxford Flowers-102 (test)	Top-1 Accuracy99.847	200
Image Retrieval	Oxford Flowers	mAP97.85	99
Image Classification	Oxford 102 Flowers	Top-1 Accuracy99.6	94
Image Classification	Oxford Flowers (test)	Accuracy99.65	85
Image Classification	Oxford-Flowers	Top-1 Accuracy99.7	83
Fine-grained Image Classification	Oxford Flowers	Accuracy97.7	49
Image Classification	Oxford 102 Flowers (test)	Mean Per-Class Accuracy99.1	44
Fine-grained classification	Oxford Flowers 102	Accuracy99.69	41
Image Classification	Oxford Flowers	Base Accuracy99	39
Fine-grained Image Classification	Oxford Flowers 102	Accuracy98.9	33
Image Classification	Oxford Flowers	Top-1 Accuracy74.03	27
Fine-grained Image Classification	Oxford Flowers (test)	Top-1 Accuracy99.7	24
Fine-grained Image Classification	Oxford 102 Flowers (test)	Accuracy99.5	23
Concept Erasure	Oxford Flowers (test)	Aer100	21
Image Classification	Oxford Flowers 102 (FLW)	Accuracy70.07	21
Image Generation	Oxford Flowers	FID12.64	15
Few-shot Classification	Oxford Flowers	Accuracy99.48	15
Image Classification	Oxford Flowers 102	Base Accuracy98.17	13
Base-to-novel generalization	Oxford Flowers	Base Accuracy98.29	13
Classification	Oxford Flowers 102	Adversarial Accuracy52.6	12
Image Classification	Oxford Flowers 102	Accuracy99.61	11
Image Classification	Oxford Flowers zero-shot	Clean Accuracy75.8	11
Concept Erasure	Oxford Flowers Camellia	Accuracy (Target)100	11
Concept Erasure	Oxford Flowers Alpine Sea Holly	Accuracy (Test)100	11

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