mlsanityData to 7 Oct 2026

ONOT: a High-Quality ICAO-compliant Synthetic Mugshot Dataset

arXiv 2404.11236 ↗First posted 17 Apr 2024cs.CVcited by 10

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Abstract (arXiv)

Nowadays, state-of-the-art AI-based generative models represent a viable solution to overcome privacy issues and biases in the collection of datasets containing personal information, such as faces. Following this intuition, in this paper we introduce ONOT, a synthetic dataset specifically focused on the generation of high-quality faces in adherence to the requirements of the ISO/IEC 39794-5 standards that, following the guidelines of the International Civil Aviation Organization (ICAO), defines the interchange formats of face images in electronic Machine-Readable Travel Documents (eMRTD). The strictly controlled and varied mugshot images included in ONOT are useful in research fields related to the analysis of face images in eMRTD, such as Morphing Attack Detection and Face Quality Assessment. The dataset is publicly released, in combination with the generation procedure details in order to improve the reproducibility and enable future extensions.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 30 of its 53 references that are in the map. First posted on arXiv 17 Apr 2024.

Builds on

30 of 53 references.

References · 30

  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  2. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
  3. 2022Generative Adversarial Networkscited by 5,603
  4. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,736
  5. 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 2,994
  6. 2015FaceNet: A Unified Embedding for Face Recognition and Clusteringcited by 2,833
  7. 2020Training Generative Adversarial Networks with Limited Datacited by 1,184
  8. 2022DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Modelscited by 924
  9. 2016Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networkscited by 895
  10. 2017SphereFace: Deep Hypersphere Embedding for Face Recognitioncited by 733
  11. 2018Deep Facial Expression Recognition: A Surveycited by 269
  12. 2021WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognitioncited by 221
18 more
  1. 2020Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learningcited by 219
  2. 2021Fake It Till You Make It: Face analysis in the wild using synthetic data alonecited by 200
  3. 2021SynFace: Face Recognition with Synthetic Datacited by 106
  4. 2022DigiFace-1M: 1 Million Digital Face Images for Face Recognitioncited by 92
  5. 2020Face Image Quality Assessment: A Literature Surveycited by 79
  6. 2023IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Modelscited by 72
  7. 2018Facial Landmark Detection: a Literature Surveycited by 63
  8. 2020Face Morphing Attack Generation & Detection: A Comprehensive Surveycited by 63
  9. 2022SFace: Privacy-friendly and Accurate Face Recognition using Synthetic Datacited by 63
  10. 2019Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?cited by 56
  11. 2023GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variationscited by 49
  12. 2022Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectorscited by 47
  13. 2020Morphing Attack Detection -- Database, Evaluation Platform and Benchmarkingcited by 38
  14. 2023Synthetic Data for Face Recognition: Current State and Future Prospectscited by 38
  15. 2022Unsupervised Face Recognition using Unlabeled Synthetic Datacited by 27
  16. 2019Face morphing detection in the presence of printing/scanning and heterogeneous image sourcescited by 22
  17. 2023Controllable Inversion of Black-Box Face Recognition Models via Diffusioncited by 22
  18. 2014Web-Scale Training for Face Identificationcited by 20

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 5; 2026: 2.

10 papers.

  1. 2025Beyond Real Faces: Synthetic Datasets Can Achieve Reliable Recognition Performance without Privacy Compromisecited by 8
  2. 2025SynID: Passport Synthetic Dataset for Presentation Attack Detectioncited by 4
  3. 2024SynMorph: Generating Synthetic Face Morphing Dataset with Mated Samplescited by 3
  4. 2024Generating Automatically Print/Scan Textures for Morphing Attack Detection Applicationscited by 2
  5. 2025FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live Imagescited by 2
  6. 2024JAM: A Comprehensive Model for Age Estimation, Verification, and Comparabilitycited by 0
  7. 2025ID-Card Synthetic Generation: Toward a Simulated Bona fide Datasetcited by 0
  8. 2025Deep Data Hiding for ICAO-Compliant Face Images: A Surveycited by 0
  9. 2026DFIC: Towards a balanced facial image dataset for automatic ICAO compliance verificationcited by 0
  10. 2026Arc2Morph: Identity-Preserving Facial Morphing with Arc2Facecited by 0