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Datasets:
AbstractPhil
/
imagenet-clip-features

Tasks:
Feature Extraction
Image Feature Extraction
Modalities:
Tabular
Text
Time-series
Formats:
parquet
Size:
1M - 10M
Tags:
features
image_features
extracted_features
precomputed_features
imagenet
imagenet_features
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
xet
 Community
1
imagenet-clip-features

Commit History

  1. Update preparer.py

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  2. Update README.md

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  3. Update README.md

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  4. Create preparer.py

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  1. Update README.md

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  1. Update README.md

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  2. Update README.md

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  3. Update README.md

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  4. Update README.md

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  5. Update README.md

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  6. Update README.md

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  7. Update README.md

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  1. Update README.md

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  2. Update README.md

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  1. Add clip_vit_laion_h14_test CLIP features

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    83a5da9

  2. Add clip_vit_l14_test CLIP features

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    f8863cb

  3. Add clip_vit_laion_b32_test CLIP features

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  4. Add clip_vit_b16_test CLIP features

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  5. Add clip_vit_b32_test CLIP features

    AbstractPhil
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    9475bdf

  6. Add clip_vit_b32_validation CLIP features

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    5787daa

  7. Update README.md

    AbstractPhil
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    7b5f1d8

  8. Add clip_vit_laion_bigg14_validation CLIP features

    AbstractPhil
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    df4db26

  9. Add clip_vit_laion_bigg14_train CLIP features

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    9eb9bd1

  1. Add clip_vit_l14_validation CLIP features

    AbstractPhil
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    9bffa9f

  2. Add clip_vit_l14_train CLIP features

    AbstractPhil
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    04a6692

  1. Add clip_vit_b16_validation CLIP features

    AbstractPhil
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    81951b2

  2. Add clip_vit_b16_train CLIP features

    AbstractPhil
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    f8ada0e

  3. Add clip_vit_laion_b32_validation CLIP features

    AbstractPhil
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    ae68fb3

  4. Add clip_vit_laion_b32_train CLIP features

    AbstractPhil
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    0286e1a

  5. Add clip_vit_b32_validation CLIP features

    AbstractPhil
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    933f1c7

  6. Add clip_vit_b32_train CLIP features

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    9caa8f9

  7. initial commit

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