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bramtoula/vtab_caltech101

VTAB Caltech101 This dataset has been used for the paper Fantastic Features and Where to Find Them: A Probing Method to combine Features from Multiple Foundation Models (NeurIPS 2025). It reproduces the settings (splits, labels) used for the Visual Task Adaptation Benchmark (VTAB). VTAB Paper: A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark VTAB Repository: google-research/task_adaptation Details of the original dataset: Original… See the full description on the dataset page: https://huggingface.co/datasets/bramtoula/vtab_caltech101.

sourceHugging Facecc-by-4.0updated 6mo agoView on Hugging Face
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filetest-00001-of-00002.parquet328.5 MBdownload
filetrain-00000-of-00001.parquet264.0 MBdownload
filetrain800-00000-of-00001.parquet77.2 MBdownload
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filetrainval-00000-of-00001.parquet294.4 MBdownload
fileval-00000-of-00001.parquet30.5 MBdownload
fileval200-00000-of-00001.parquet20.0 MBdownload

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