Research
Benchmarks for “imagenet”
Compare state-of-the-art methods across the tasks and datasets used to measure AI progress.
4,762 benchmarksPage 152 of 191
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| Task | Dataset | Domain | Trend | Results | Last update |
|---|---|---|---|---|---|
| Image Classification | ImageNet 2000 image subset (test) | 5 | Feb 26, 2026 | ||
| Image Classification | ImageNet-E 256x256 (val) | 5 | Feb 26, 2026 | ||
| Image Classification | ImageNet-D 256x256 (val) | 5 | Feb 26, 2026 | ||
| Image Classification | ImageNet-C 256x256 (val) | 5 | Feb 26, 2026 | ||
| Image Classification | ImageNet-B 256x256 (val) | 5 | Feb 26, 2026 | ||
| Image Classification Calibration | ImageNet-C trained on ImageNet-LT Gaussian noise corruption level 5 (test) | 5 | Feb 26, 2026 | ||
| Generalized Category Discovery | ImageNet-100 7 (test) | 5 | Feb 26, 2026 | ||
| Gradient Leakage Attack | Tiny ImageNet | 5 | Feb 26, 2026 | ||
| Image Classification | ImageNet OOD A/R/S variants (test) | 5 | Feb 26, 2026 | ||
| Image Classification | ImageNet-9 | 5 | Feb 26, 2026 | ||
| Out-of-Distribution Detection | ImageNet-Resize (test) | 5 | Feb 26, 2026 | ||
| Image Classification | ImageNet-ReaL-H v1 (test) | 5 | Feb 26, 2026 | ||
| Out-of-distribution Detection | ImageNet vs. Places365 v1 (test) | 5 | Feb 26, 2026 | ||
| Neural Architecture Search Performance Estimation | ImageNet-16-120 NASBench-201 (test) | 5 | Feb 26, 2026 | ||
| Image Classification | Nine downstream tasks (ImageNet, Flowers, Aircraft, Pets, CIFAR10, CIFAR100, Cars, DTD, SUN397) (test) | 5 | Feb 26, 2026 | ||
| Image Classification | ImageNet-C Average of 15 corruptions (test) | 5 | Feb 26, 2026 | ||
| Robustness Evaluation | ImageNet Robustness Variants (IN-A, IN-R, IN-Sketch, IN-C) (test) | 5 | Feb 26, 2026 | ||
| Out-of-Distribution Detection | ImageNet-R (test) | 5 | Feb 26, 2026 | ||
| Image Classification | ImageNet | 5 | Feb 26, 2026 | ||
| Deblurring | ImageNet 50K 256x256 (val) | 5 | Feb 26, 2026 | ||
| Noisy Anisotropic Gaussian Deblurring | ImageNet 1K 256x256 (test) | 5 | Feb 26, 2026 | ||
| Noisy 4x Super-resolution (Bicubic kernel) | ImageNet 1K 256x256 (test) | 5 | Feb 26, 2026 | ||
| Deblurring (Anisotropic Gaussian) | ImageNet 1K 256 x 256 Noiseless | 5 | Feb 26, 2026 | ||
| 4x Super-resolution (Bicubic) | ImageNet 1K Noiseless (256 x 256) | 5 | Feb 26, 2026 | ||
| OOD detection | ImageNet-30 vs Caltech-256 (test) | 5 | Feb 26, 2026 |