Meta Platforms Inc. has released FACET, a benchmark dataset intended to aid researchers in evaluating computer vision models for bias. In addition to releasing FACET, the company is also updating its open-source DINOv2 toolkit.
A group of artificial intelligence models called DINOv2 was first introduced in April with the intention of simplifying computer vision projects. Currently, DINOv2 is accessible under a license that allows for commercial use.
Researchers can determine if a computer vision model is producing biased results by using Meta’s new FACET dataset. The business explained in a blog post how challenging it is to assess AI fairness using the methods of today.
According to Meta, FACET will make the task easier by giving researchers access to a sizable evaluation dataset that they can use to check a variety of computer vision models.
Read More: Meta releases FACET dataset for evaluating AI fairness
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