Data Collection for Anti-Spoofing Tasks

Within a month, more than 10% of the entire database with over 2,000 photographs was collected

Industry and use case:
Biometrics, Facial Identification
Data:
2,000 photographs across 50 unique sets
Project duration:
1 month

The Task

A client developing facial recognition and anti-spoofing technologies approached us with a clear objective: to collect a high-quality dataset for testing four types of presentation attacks — Live, Print, Crop, and Display.

Due to internal resource limitations, they needed a partner who could take over the full cycle of data collection — from sourcing participants to final validation. After reviewing several providers, the client chose Unidata for our proven track record and flexible approach.

The Solution

  1. Preparation and Technical Briefing
    We began by aligning with the client’s technical specifications and validating the workflow with a pilot phase. This ensured we were fully aligned before scaling.
  2. Performer Recruitment and Photo Capture
    Using our wide performer base, we organized the collection of five photographs per participant, each taken from specific distances and angles.
    All images adhered to strict guidelines for positioning and proportions.
  3. Spoofing Scenario Generation
    To simulate various spoofing attacks, we produced supporting materials — printed versions of faces, cropped cutouts, and digital displays. These required precise execution to ensure background consistency and proportional accuracy across all samples.
  4. Validation and Quality Assurance
    Collected data underwent a two-stage validation process.
    Images were reviewed for visual and technical compliance, and all inconsistencies were corrected before final submission.

The Result

  • Efficient Delivery: Over 10% of the client’s total dataset was completed in just one month.
  • High-Quality Data: 50 validated sets totaling 2,000 photos were delivered, covering all required attack types.
  • Client Endorsement: The client praised the speed, accuracy, and process clarity, emphasizing their readiness to partner with Unidata on future projects.

Our Cases

Case studies highlight how our services have enhanced AI model training and improved business outcomes across various industries See more
  • Data Collection for Anti-Spoofing Tasks

    Within a month, more than 10% of the entire database with over 2,000 photographs was collected

  • Data Collection for Facial and Speech Recognition

    Through data collection, the client improved their biometric system for facial and voice recognition by 21%.

  • Content Moderation on the Video

    Content moderation on the video hosting platform enabled a 99% reduction in the influx of prohibited content

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