AbstractPhil/imagenet-clip-features
Update: 10/2/2025 Claude said that I'm not being careful enough with my database curation after grilling me for 20 minutes, so I included the preparer script as well. Claude Sonnet 4.5 is kind of a chad. Update; 9/26/2025 Having to download this whole repo is annoying, so I'm making sure the splits are named train/val/test (if they exist) and the named subset is the clip name. Older non-dated updates Everything extracted with torch configured as… See the full description on the dataset page: https://huggingface.co/datasets/AbstractPhil/imagenet-clip-features.
Update preparer.py
Update README.md
Update README.md
Create preparer.py
Update README.md
Update README.md
Update README.md
Update README.md
Update README.md
Update README.md
Update README.md
Update README.md
Update README.md
Update README.md
Add clip_vit_laion_h14_test CLIP features
Add clip_vit_l14_test CLIP features
Add clip_vit_laion_b32_test CLIP features
Add clip_vit_b16_test CLIP features
Add clip_vit_b32_test CLIP features
Add clip_vit_b32_validation CLIP features
Update README.md
Add clip_vit_laion_bigg14_validation CLIP features
Add clip_vit_laion_bigg14_train CLIP features
Add clip_vit_l14_validation CLIP features
Add clip_vit_l14_train CLIP features
Add clip_vit_b16_validation CLIP features
Add clip_vit_b16_train CLIP features
Add clip_vit_laion_b32_validation CLIP features
Add clip_vit_laion_b32_train CLIP features
Add clip_vit_b32_validation CLIP features
Add clip_vit_b32_train CLIP features
initial commit
