Fine-grained recognition datasets
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | 10 fine-grained recognition datasets (Aircraft, Caltech, Cars, DTD, EuroSAT, Flower, Food101, Pets, SUN397, UCF101) (test) | Aircraft Accuracy58 | 64 | |
| Fine-grained Recognition | Ten fine-grained recognition datasets (average) | Memory (GB)0.18 | 6 |
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