Multi-label image classification datasets compatible with timm (>= v1.0.31)
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Computer Vision
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timm
PyTorch Image Models (timm) is a collection of image models, layers, utilities, optimizers, schedulers, data-loaders / augmentations, and reference training / validation scripts that aim to pull together a wide variety of SOTA models with ability to reproduce ImageNet training results.
- Find all the timm models here.
- timm github repository
- timm documentation 📚
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timm/deepseek_vit_412m.deepseek_v4_1_flash
Image Feature Extraction • 0.4B • Updated • 551 • 2 -
timm/deepseek_vit_412m.deepseek_v4_flash_vision_exp
Image Feature Extraction • 0.4B • Updated • 114 -
timm/deepseek_vit_412m_align.deepseek_v4_1_flash
Image Feature Extraction • 0.5B • Updated • 64 -
timm/deepseek_vit_412m_enc.deepseek_v4_1_flash
Image Feature Extraction • 0.5B • Updated • 152
Multi-label image classification datasets compatible with timm (>= v1.0.31)
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timm/deepseek_vit_412m.deepseek_v4_1_flash
Image Feature Extraction • 0.4B • Updated • 551 • 2 -
timm/deepseek_vit_412m.deepseek_v4_flash_vision_exp
Image Feature Extraction • 0.4B • Updated • 114 -
timm/deepseek_vit_412m_align.deepseek_v4_1_flash
Image Feature Extraction • 0.5B • Updated • 64 -
timm/deepseek_vit_412m_enc.deepseek_v4_1_flash
Image Feature Extraction • 0.5B • Updated • 152
spaces 6
Running
Agents
87
The timm Leaderboard
🏆
Compare and visualize PyTorch image model performance metrics
Running
Agents
4
timm CAM
📚
Explain image content using AI models
Running
Agents
7
Timm + Transformers
😻
Any timm model with the transformers integration
Paused
3
JupyterLab (timm)
💻
Improved JuptyerLab template w/ timm
Sleeping
Agents
18
timm Attention Visualization
👁
Visualize attention maps for images using timm models
models 1,814
timm/naflexvit_base_patch16_radio_v3.c_radio
Updated
timm/qwen3_vit_306m_merge.qwen_drive_1_0_4b
Image Feature Extraction • 0.3B • Updated • 63
timm/qwen3_vit_306m_enc.qwen_drive_1_0_4b
Image Feature Extraction • 0.3B • Updated • 66
timm/qwen3_vit_306m.qwen_drive_1_0_4b
Image Feature Extraction • 0.3B • Updated • 151
timm/deepseek_vit_412m_enc.deepseek_v4_flash_vision_exp
Image Feature Extraction • 0.5B • Updated • 137 • 1
timm/deepseek_vit_412m_enc.deepseek_v4_1_flash
Image Feature Extraction • 0.5B • Updated • 152
timm/deepseek_vit_412m_align.deepseek_v4_flash_vision_exp
Image Feature Extraction • 0.5B • Updated • 163
timm/deepseek_vit_412m_align.deepseek_v4_1_flash
Image Feature Extraction • 0.5B • Updated • 64
timm/deepseek_vit_412m.deepseek_v4_flash_vision_exp
Image Feature Extraction • 0.4B • Updated • 114
timm/deepseek_vit_412m.deepseek_v4_1_flash
Image Feature Extraction • 0.4B • Updated • 551 • 2
datasets 21
timm/imet-open-access
Viewer • Updated • 260k • 574 • 1
timm/bigearthnet-v2-rgb
Viewer • Updated • 480k • 1.46k
timm/bigearthnet-v2-rgb-nir-swir
Viewer • Updated • 480k • 446
timm/nih-chest-xray-14
Viewer • Updated • 112k • 13.2k • 2
timm/plant-pathology-2021
Viewer • Updated • 18.6k • 990 • 12
timm/amazon-from-space
Viewer • Updated • 203k • 491 • 1
timm/bee-dataset
Viewer • Updated • 7.49k • 102
timm/mini-imagenet
Viewer • Updated • 65k • 7.82k • 30
timm/imagenet-22k-wds
Viewer • Updated • 123k • 6.92k • 14
timm/imagenet-12k-wds
Viewer • Updated • 127k • 3.71k • 10