Dataset · Hugging Face

FaizPalwala/SFHQ-VirtualID-Bench

Name: SFHQ-VirtualID-Bench
Creator: FaizPalwala
License: other
Keywords: task_categories:image-classification, task_categories:image-to-image, language:en, license:other, size_categories:10K<n<100K, modality:image, region:us, machine-unlearning, synthetic-faces, identity-conditioned, face-generation, benchmark

SFHQ-VirtualID-Bench Dataset Card Summary SFHQ-VirtualID-Bench is a synthetic, identity-conditioned face dataset of 750 synthetic identities, built as a benchmark for machine unlearning. Each identity is a deletion unit: all 90 aligned 224×224 crops of one identity share a single identity-level split (retain or forget), and 75 identities follow a sequential 15-step forgetting protocol. Every identity contributes both per-image image_subset values (train + holdout)… See the full description on the dataset page: https://huggingface.co/datasets/FaizPalwala/SFHQ-VirtualID-Bench.

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Author / organization	FaizPalwala
License (as declared)	other
Downloads	182 (as reported by Hugging Face)
Likes	0
Created	15 August 2026
Last updated at source	21 August 2026

machine-unlearningsynthetic-facesidentity-conditionedface-generationbenchmark

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