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In this video we dive into Meta AI’s FACET dataset, a new benchmark for evaluating fairness of computer vision models across image classification, object detection and object segmentation.
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The FACET dataset was presented in a research paper titled FACET: Fairness in Computer Vision Evaluation Benchmark, which we explain during the video.
We start with a motivation for the importance of the a fairness dataset. The we review the data which the FACET dataset contains. We then discuss about how the dataset was created, and finally we review some of the results presented in the paper.
FACET Dataset – https://facet.metademolab.com/
Arxiv page – https://arxiv.org/abs/2309.00035
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Chapters:
0:00 Introducing FACET
0:55 FACET data
3:10 Creating FACET
5:10 Results
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