CelebA-C: Blur Corruptions

This dataset is part of the CelebA-C benchmark, a large-scale image corruption dataset derived from the CelebA face dataset for evaluating model robustness under distribution shift.

This record contains the blur-based corruption subset, including Gaussian blur, defocus blur, motion blur, zoom blur, and glass blur, each generated at five severity levels on the CelebA test split.

Images are stored in HDF5 format with lossless gzip compression and chunked storage to enable efficient loading and reproducible evaluation.

The complete CelebA-C benchmark is released as four complementary datasets due to repository size constraints:(i) Celeba_blur.h5(ii) Celeba_noise.h5(iii) Celeba_digital.h5, and(iv) Celeba_weather.h5 (refer to the DOIs of the other three datasets in the Related Works section)Together, these four records constitute the complete CelebA-C dataset.