PACS is a benchmark dataset for domain generalization in image classification,
introduced in "Deeper, Broader and Artier Domain Generalization" (Li et al., ICCV 2017).
It contains 9,991 images across 4 domains and 7 object categories,
with significantly larger domain shift than prior benchmarks like VLCS —
averaging a 20.2% cross-domain performance drop versus 10.0% for VLCS.
P — Photo
Real… See the full description on the dataset page:
https://huggingface.co/datasets/Azeez577/PACS.
