mlsanityData to 7 Oct 2026

FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age

arXiv 1908.04913 ↗First posted 14 Aug 2019cs.CV cs.LGcited by 87

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Abstract (arXiv)

Existing public face datasets are strongly biased toward Caucasian faces, and other races (e.g., Latino) are significantly underrepresented. This can lead to inconsistent model accuracy, limit the applicability of face analytic systems to non-White race groups, and adversely affect research findings based on such skewed data. To mitigate the race bias in these datasets, we construct a novel face image dataset, containing 108,501 images, with an emphasis of balanced race composition in the dataset. We define 7 race groups: White, Black, Indian, East Asian, Southeast Asian, Middle East, and Latino. Images were collected from the YFCC-100M Flickr dataset and labeled with race, gender, and age groups. Evaluations were performed on existing face attribute datasets as well as novel image datasets to measure generalization performance. We find that the model trained from our dataset is substantially more accurate on novel datasets and the accuracy is consistent between race and gender groups.

Key facts. Cited by 87 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Aug 2019.

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Citing papers per year: 2021: 20; 2022: 8; 2023: 20; 2024: 17; 2025: 13; 2026: 9.

87 papers.

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  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2023Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolutioncited by 226
  3. 2021Trustworthy AI: From Principles to Practicescited by 206
  4. 2021Fake It Till You Make It: Face analysis in the wild using synthetic data alonecited by 200
  5. 2023StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learnerscited by 177
  6. 2023Debiasing Vision-Language Models via Biased Promptscited by 147
  7. 2023Social Biases through the Text-to-Image Generation Lenscited by 126
  8. 2023Improving Multimodal Datasets with Image Captioningcited by 93
  9. 2021Towards Measuring Fairness in AI: the Casual Conversations Datasetcited by 80
  10. 2023PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Modelscited by 70
  11. 2023Prompting for Multimodal Hateful Meme Classificationcited by 68
  12. 2024Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigationcited by 66
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  1. 2023ITI-GEN: Inclusive Text-to-Image Generationcited by 64
  2. 2023SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examplescited by 53
  3. 2021WarpedGANSpace: Finding non-linear RBF paths in GAN latent spacecited by 48
  4. 2021Disentangling Hate in Online Memescited by 46
  5. 2023Decoding the Underlying Meaning of Multimodal Hateful Memescited by 38
  6. 2021Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directionscited by 35
  7. 2021Perceptual Score: What Data Modalities Does Your Model Perceive?cited by 35
  8. 2024FairRAG: Fair Human Generation via Fair Retrieval Augmentationcited by 34
  9. 2021One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Visioncited by 33
  10. 2023Overwriting Pretrained Bias with Finetuning Datacited by 32
  11. 2024Identifying Implicit Social Biases in Vision-Language Modelscited by 27
  12. 2024Supervised Algorithmic Fairness in Distribution Shifts: A Surveycited by 23
  13. 2021Rethinking Common Assumptions to Mitigate Racial Bias in Face Recognition Datasetscited by 22
  14. 2022Transferring Fairness under Distribution Shifts via Fair Consistency Regularizationcited by 21
  15. 2024A Unified Debiasing Approach for Vision-Language Models across Modalities and Taskscited by 18
  16. 2021Balancing Biases and Preserving Privacy on Balanced Faces in the Wildcited by 17
  17. 2024BendVLM: Test-Time Debiasing of Vision-Language Embeddingscited by 17
  18. 2021Measuring Hidden Bias within Face Recognition via Racial Phenotypescited by 16
  19. 2022Information-Theoretic Bias Reduction via Causal View of Spurious Correlationcited by 15
  20. 2023What Should Be Balanced in a "Balanced" Face Recognition Dataset?cited by 13
  21. 2021EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Datasetcited by 12
  22. 2024Fairness and Bias Mitigation in Computer Vision: A Surveycited by 12
  23. 2022Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigationcited by 11
  24. 2022An Examination of Bias of Facial Analysis based BMI Prediction Modelscited by 10
  25. 2021CASIA-Face-Africa: A Large-scale African Face Image Databasecited by 9
  26. 2021Fairness Properties of Face Recognition and Obfuscation Systemscited by 9
  27. 2022FedDAR: Federated Domain-Aware Representation Learningcited by 8
  28. 2021Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representationcited by 7
  29. 2023Balancing Act: Constraining Disparate Impact in Sparse Modelscited by 7
  30. 2022Data Representativeness in Accessibility Datasets: A Meta-Analysiscited by 6
  31. 2023When Fair Classification Meets Noisy Protected Attributescited by 6
  32. 2024The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjectscited by 6
  33. 2024The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Interventioncited by 6
  34. 2025On Fairness of Unified Multimodal Large Language Model for Image Generationcited by 6
  35. 2026Interpretable Debiasing of Vision-Language Models for Social Fairnesscited by 6
  36. 2026Towards Policy-Adaptive Image Guardrail: Benchmark and Methodcited by 6
  37. 2021Personalizing Pre-trained Modelscited by 5
  38. 2024Hairmony: Fairness-aware hairstyle classificationcited by 5

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