Data Collection for Facial and Speech Recognition

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

Industry and use case:
Security
Data:
10,000 attack videos
Project duration:
21 days

Task:

The client approached us with a task to collect data to improve their facial and speech recognition system. The technical requirements included unique data collection (photos, videos) offline, strict criteria for sound and shooting format, and the need to gather 1,000 participants for the recordings. The client’s team was unable to organize data collection on such a scale and in the required format, so they turned to Unidata.

Solution

To collect this dataset, we organized five studios and invited people to participate for a reward using promoters. Each studio had a manager who assisted participants with the recordings and oversaw the data collection process. Each studio saw 8-10 participants per day.

Results:

  • The client improved their biometric system for facial and voice recognition by 21%. We collected a unique dataset with over 400,000 data points from 1,000 offline participants.
  • We assembled a team of promoters and identified suitable locations for offline projects throughout the city (NDA).

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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