1,011 models · refreshed nightly
Image classification models
Every model in the catalog with its licence, estimated VRAM and daily-tracked downloads. Filters update the URL — share any view.
| # | Model | Params | Context | Commercial use | 30d | Min VRAM |
|---|---|---|---|---|---|---|
| 01 | mobilenetv3_small_100.lamb_in1k | 0 M | — | ✓ apache-2.0 | 18.5 M | from 0.5 GB |
| 02 | nsfw_image_detection | 90 M | — | ✓ apache-2.0 | 5.4 M | from 0.9 GB |
| 03 | vit-base-patch16-224 | 90 M | — | ✓ apache-2.0 | 4.7 M | from 0.9 GB |
| 04 | fairface_age_image_detection | 90 M | — | ✓ apache-2.0 | 3.2 M | from 2.4 GB |
| 05 | resnet50.a1_in1k | 30 M | — | ✓ apache-2.0 | 2.8 M | from 0.6 GB |
| 06 | resnet18.a1_in1k | 10 M | — | ✓ apache-2.0 | 1.9 M | from 0.6 GB |
| 07 | tf_efficientnetv2_s.in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 1.6 M | from 0.6 GB |
| 08 | mit-b2 | — | — | other | 1.6 M | — |
| 09 | gender-classification | 90 M | — | unknown | 1.5 M | from 0.9 GB |
| 10 | efficientnet_b0.ra_in1k | 10 M | — | ✓ apache-2.0 | 1.3 M | from 0.5 GB |
| 11 | resnet-50 | 30 M | — | ✓ apache-2.0 | 1.2 M | from 0.6 GB |
| 12 | rorshark-vit-base | 90 M | — | ✓ apache-2.0 | 923 K | from 0.9 GB |
| 13 | vit_tiny_patch16_224.augreg_in21k_ft_in1k | 10 M | — | ✓ apache-2.0 | 689 K | from 0.5 GB |
| 14 | vit_base_patch8_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 679 K | from 0.9 GB |
| 15 | repvgg_a0.rvgg_in1k | 10 M | — | ✓ mit | 669 K | from 0.5 GB |
| 16 | vit-base-nsfw-detector | 90 M | — | ✓ apache-2.0 | 660 K | from 0.9 GB |
| 17 | nsfw_image_detector | 90 M | — | ✓ mit | 591 K | from 0.7 GB |
| 18 | vit_base_patch16_224.augreg2_in21k_ft_in1k | 90 M | — | ✓ apache-2.0 | 510 K | from 0.9 GB |
| 19 | wide_resnet50_2.racm_in1k | 70 M | — | ✓ apache-2.0 | 506 K | from 0.8 GB |
| 20 | resnet34.a1_in1k | 20 M | — | ✓ apache-2.0 | 495 K | from 0.6 GB |
| 21 | convnext_tiny.in12k_ft_in1k | 30 M | — | ✓ apache-2.0 | 494 K | from 0.6 GB |
| 22 | vit_tiny_r_s16_p8_224.augreg_in21k | 10 M | — | ✓ apache-2.0 | 432 K | from 0.5 GB |
| 23 | swinv2-tiny-patch4-window16-256 | — | — | ✓ apache-2.0 | 431 K | — |
| 24 | convnext_femto.d1_in1k | 10 M | — | ✓ apache-2.0 | 375 K | from 0.5 GB |
| 25 | efficientnet_b2.ra_in1k | 10 M | — | ✓ apache-2.0 | 325 K | from 0.5 GB |
| 26 | edgenext_small.usi_in1k | 10 M | — | ✓ mit | 320 K | from 0.5 GB |
| 27 | vit_small_patch16_224.augreg_in21k_ft_in1k | 20 M | — | ✓ apache-2.0 | 301 K | from 0.6 GB |
| 28 | CommunityForensics-DeepfakeDet-ViT | 40 M | — | ✓ mit | 294 K | from 0.7 GB |
| 29 | nsfw-classifier | 90 M | — | ✗ cc-by-nc-nd-4.0 | 281 K | from 0.9 GB |
| 30 | ai-image-detector-dev-deploy | 200 M | — | unknown | 245 K | from 2.2 GB |
| 31 | plant-identity | 90 M | — | unknown | 236 K | from 0.9 GB |
| 32 | resnet18.a3_in1k | 10 M | — | ✓ apache-2.0 | 234 K | from 0.6 GB |
VRAM figures are estimates for the smallest available quantization at 8K context — see /methodology. Downloads refresh nightly from the Hugging Face API.