Iarpa Janus Benchmark-C (IJP-C)

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Iarpa Janus Benchmark-C (IJP-C) is a database of YouTube video still-frames and Flickr and Wikimedia photos used for facial recognition benchmarking.Β 

IJP-C was compiled in 2017 by US government subcontractor Noblis and contains 21,294 images of 3,531 people 'with diverse occupations' and of varying levels of fame.Β 

The dataset averages six pictures and three videos per person, and is available on application to computer vision and facial recognition researchers.

Facial recognition system

A facial recognition system is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.

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Dataset πŸ€–

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Transparency and accountability πŸ™ˆ

The Iarpa Janus Benchmark-C (IJB-C) dataset is seen to suffer from a number of transparency limitations:

Risks and harms πŸ›‘

The Iarpa Janus Benchmark-C (IJP-C) dataset has been criticised for using images of political activists, civil rights advocates, and journalists without their consent, and for enabling its potential misuse for military and security purposes.Β 

Incidents and issues πŸ”₯

Investigations, assessments, audits πŸ‘οΈ

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Type: Data
Published: January 2023
Last updated: October 2024