Dataset · Hugging Face

atharvadagaonkar/ImageNet-CJ

Name: ImageNet-CJ
Creator: atharvadagaonkar
License: other
Keywords: task_categories:image-classification, language:en, license:other, size_categories:10K<n<100K, format:csv, modality:image, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:1903.12261, region:us, robustness

JPEG Re-encoding Confound Control Dataset A controlled-experiment dataset that isolates one acknowledged-but-unmeasured confound in ImageNet-C. Hendrycks & Dietterich (Benchmarking Neural Network Robustness to Common Corruptions and Perturbations, ICLR 2019, arXiv:1903.12261) save every corrupted image as a lightly compressed JPEG. The benchmark therefore never measures a corruption c applied to an image x in isolation — it measures JPEG(c(x)). This dataset lets you quantify how… See the full description on the dataset page: https://huggingface.co/datasets/atharvadagaonkar/ImageNet-CJ.

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Author / organization	atharvadagaonkar
License (as declared)	other
Downloads	210 (as reported by Hugging Face)
Likes	0
Created	4 June 2026
Last updated at source	4 June 2026

robustnessimagenet-ccorruption-robustnessjpeg-compressioncontrolled-experimentconfoundbenchmark-bias

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