Fine-grained classification datasets
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | 11 fine-grained classification datasets average | Mean Top-1 Error9.2 | 46 | |
| Fine-grained classification | Fine-grained classification datasets Average of Caltech101, Pets, Cars, Flower102, Aircraft, DTD, EuroSAT, UCF101 (test) | Accuracy69.5 | 20 |
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