Research
Benchmarks for “imagenet”
Compare state-of-the-art methods across the tasks and datasets used to measure AI progress.
4,762 benchmarksPage 117 of 191
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| Task | Dataset | Domain | Trend | Results | Last update |
|---|---|---|---|---|---|
| Image Classification | Multilingual ImageNet 1K (test) | 8 | Feb 26, 2026 | ||
| OOD Detection | CIFAR-10 (ID) vs ImageNet-Resize hard OOD (test) | 8 | Feb 26, 2026 | ||
| Controllable Text-to-Image Diffusion | ImageNet-R-TI2I Depth (test) | 8 | Feb 26, 2026 | ||
| Controllable Text-to-Image Diffusion | ImageNet-R-TI2I Sketch (test) | 8 | Feb 26, 2026 | ||
| Controllable Text-to-Image Diffusion | ImageNet-R TI2I (Canny) (test) | 8 | Feb 26, 2026 | ||
| Few-shot domain generalization | Meta-Dataset ImageNet-only v1 (train) | 8 | Feb 26, 2026 | ||
| Image Classification | ImageNet and OOD variants (ImV2, Im-A, Im-R, Im-S) 1.0 (val) | 8 | Feb 26, 2026 | ||
| Clustering | ImageNet-1M 1% labeled | 8 | Feb 26, 2026 | ||
| Image Classification | ImageNet Hue-shifted (test) | 8 | Feb 26, 2026 | ||
| Classification | ImageNet Noise | 8 | Feb 26, 2026 | ||
| Model Interpretation | ImageNet 1000 random images | 8 | Feb 26, 2026 | ||
| Image Classification | ImageNet 1k (0.20%) | 8 | Feb 26, 2026 | ||
| Human Understandability Evaluation | ImageNet (test) | 8 | Feb 26, 2026 | ||
| Image Classification | ImageNet (test) | 8 | Feb 26, 2026 | ||
| Image Classification Robustness | ImageNet-C mean over shifts v1 (test) | 8 | Feb 26, 2026 | ||
| Semi-supervised Learning | ImageNet 1k (10%) | 8 | Feb 26, 2026 | ||
| Image Classification | ImageNet | 8 | Feb 26, 2026 | ||
| Inpainting | ImageNet | 8 | Feb 26, 2026 | ||
| Image Classification | ImageNetV2 Top Images Ti (test) | 8 | Feb 26, 2026 | ||
| Image Classification | ImageNetV2 Threshold 0.7 (test) | 8 | Feb 26, 2026 | ||
| Image Classification | ImageNet (val) | 8 | Feb 26, 2026 | ||
| Continuous Novel Category Discovery | ImageNet-200 | 8 | Feb 26, 2026 | ||
| Continuous Novel Category Discovery | ImageNet 100 | 8 | Feb 26, 2026 | ||
| Class-Incremental Learning | ImageNet 500 base + 10x50 novel classes (incremental) | 8 | Feb 26, 2026 | ||
| Image Classification | Red Mini-ImageNet 0.6 noise rate Controlled Noisy Web Labels (CNWL) (test) | 8 | Feb 26, 2026 |