mlsanityData to 7 Oct 2026

MAAD-Face: A Massively Annotated Attribute Dataset for Face Images

arXiv 2012.01030 ↗First posted 2 Dec 2020cs.CVcited by 31

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Abstract (arXiv)

Soft-biometrics play an important role in face biometrics and related fields since these might lead to biased performances, threatens the user's privacy, or are valuable for commercial aspects. Current face databases are specifically constructed for the development of face recognition applications. Consequently, these databases contain large amount of face images but lack in the number of attribute annotations and the overall annotation correctness. In this work, we propose MAADFace, a new face annotations database that is characterized by the large number of its high-quality attribute annotations. MAADFace is build on the VGGFace2 database and thus, consists of 3.3M faces of over 9k individuals. Using a novel annotation transfer-pipeline that allows an accurate label-transfer from multiple source-datasets to a target-dataset, MAAD-Face consists of 123.9M attribute annotations of 47 different binary attributes. Consequently, it provides 15 and 137 times more attribute labels than CelebA and LFW. Our investigation on the annotation quality by three human evaluators demonstrated the superiority of the MAAD-Face annotations over existing databases. Additionally, we make use of the large amount of high-quality annotations from MAAD-Face to study the viability of soft-biometrics for recognition, providing insights about which attributes support genuine and imposter decisions. The MAAD-Face annotations dataset is publicly available.

Key facts. Cited by 31 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Dec 2020.

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Citing papers per year: 2021: 4; 2022: 3; 2023: 8; 2024: 7; 2025: 6; 2026: 3.

31 papers.

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  1. 2021A Comprehensive Study on Face Recognition Biases Beyond Demographicscited by 86
  2. 2021A Survey on Bias in Visual Datasetscited by 84
  3. 2024How Good is ChatGPT at Face Biometrics? A First Look into Recognition, Soft Biometrics, and Explainabilitycited by 33
  4. 2024AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmarkcited by 28
  5. 2023Zero-shot Model Diagnosiscited by 23
  6. 2021High Resolution Face Editing with Masked GAN Latent Code Optimizationcited by 21
  7. 2024Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functionscited by 17
  8. 2021Measuring Hidden Bias within Face Recognition via Racial Phenotypescited by 16
  9. 2023Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learningcited by 15
  10. 2022Analyzing Fairness in Deepfake Detection With Massively Annotated Databasescited by 13
  11. 2024Fairness and Bias Mitigation in Computer Vision: A Surveycited by 12
  12. 2022Consistency and Accuracy of CelebA Attribute Valuescited by 11
19 more
  1. 2023Manipulating Transfer Learning for Property Inferencecited by 7
  2. 2023LogicNet: A Logical Consistency Embedded Face Attribute Learning Networkcited by 4
  3. 2022A comprehensive survey on semantic facial attribute editing using generative adversarial networkscited by 3
  4. 2023Tag-based annotation creates better avatarscited by 2
  5. 2023On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Normscited by 2
  6. 2024Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognitioncited by 2
  7. 2024Towards Inclusive Face Recognition Through Synthetic Ethnicity Alterationcited by 2
  8. 2024CounterFace: A Synthetic Face Dataset for Fine-Grained Counterfactual Evaluation of Face Recognition Systemscited by 2
  9. 2025On the Illusion of Gender Bias in Face Recognition: Explaining the Fairness Issue Through Non-demographic Attributescited by 2
  10. 2025FaceInsight: A Multimodal Large Language Model for Face Perceptioncited by 2
  11. 2025Non-Adaptive Adversarial Face Generationcited by 2
  12. 2025MADPromptS: Unlocking Zero-Shot Morphing Attack Detection with Multiple Prompt Aggregationcited by 2
  13. 2023(Un)fair Exposure in Deep Face Rankings at a Distancecited by 1
  14. 2023Tag-Based Annotation for Avatar Face Creationcited by 1
  15. 2025Trade-offs in Cross-Domain Generalization of Foundation Model Fine-Tuned for Biometric Applicationscited by 0
  16. 2025Descend or Rewind? Stochastic Gradient Descent Unlearningcited by 0
  17. 2026The Good, the Better, and the Best: Improving the Discriminability of Face Embeddings through Attribute-aware Learningcited by 0
  18. 2026AlignFace: Human-Aligned Face Similarity Metric with Interpretable Concept Relationscited by 0
  19. 2026Geometric Data Perturbation with Noisy-Anchor Alignment for Privacy-Preserving Collaborative Learningcited by 0