Fine-grained classification
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
11 Fine-grained classification datasets (Food, CIFAR-10, CIFAR-100, SUN397, Stanford Cars, FGVC Aircraft, DTD, Oxford-IIIT Pets, Caltech-101, Oxford Flowers-102, CUB-200-2011) 1.0 (test)
95Food Accuracy
10
Fine-grained classification datasets (Adversarial)
0.006Average Inference Time (s)
4