Public Resources

Datasets that contain faces (Face Recognition, Morphing Attack, …)

• VAMONOT-R
  A dataset for the V-MAD task.
  Link: https://miatbiolab.csr.unibo.it/vamonot-r/
  
  
• VAMONOT-S
  A synthetic dataset for the V-MAD task.
  Link: https://miatbiolab.csr.unibo.it/vamonot-s/
  
  
• FEI Morph Dataset
  A dataset created for the S/D-MAD task.
  Link: https://miatbiolab.csr.unibo.it/fei-morph-dataset/ 
  
  
• ChiMo dataset
  A dataset created for the S-MAD task.
  Link: https://miatbiolab.csr.unibo.it/chimo-dataset/
  
  
• ONOT dataset
  A synthetic dataset in accordance with ICAO quality standard (ISO/IEC 39794-5) 
  Link: https://miatbiolab.csr.unibo.it/icao-synthetic-dataset/
  
  
• TONO dataset
  A synthetic dataset for the verification of the ISO/ICAO standard for eMRTDs.
  Link: https://miatbiolab.csr.unibo.it/tono-synthetic-dataset/
  
  
• MONOT dataset
  A synthetic morphed dataset
  Link: https://miatbiolab.csr.unibo.it/monot-synthetic-dataset
  
  
• AMONOT dataset
  A synthetic dataset with aged morphed images.
  Link: https://miatbiolab.csr.unibo.it/amonot-synthetic-aged-dataset/
  
  

Other Datasets

• • San Vitale challenge dataset
    A dataset for the automatic reconstruction of ancient glass window fragments.
    Link: https://miatbiolab.csr.unibo.it/svitale-dataset/ 
    Challenge page: https://sites.google.com/view/svitale-2024/home

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Methods and Models

• • Revelio framework
    A framework is explicitly designed to simplify the development and comparison of MAD algorithms.
    Link: https://miatbiolab.csr.unibo.it/revelio-framework/
    

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  • Resources for Morphing Attack
    A collection of code, data, and models publicly available.
    Link: https://github.com/gdubrg/morphing-attack-resources
    

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