Invention Grant
- Patent Title: Automatic benchmarking of labeling tasks
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Application No.: US16730840Application Date: 2019-12-30
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Publication No.: US11308364B1Publication Date: 2022-04-19
- Inventor: Nathaniel John Herman , Akshat Bubna , Alexandr Wang , Shariq Shahab Hashme , Samuel J. Clearman , Liren Tu , Jeffrey Zhihong Li , James Lennon
- Applicant: Scale AI, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Scale AI, Inc.
- Current Assignee: Scale AI, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Artegis Law Group, LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N20/00

Abstract:
One embodiment of the present invention sets forth a technique for evaluating labeled data. The technique includes selecting, from a set of labels for a data sample, a subset of the labels representing non-outliers in a distribution of values in the set of labels. The technique also includes aggregating the subset of the labels into a benchmark for the data sample. The technique further includes generating, based on a comparison between the benchmark and an additional label, a benchmark score associated with the data sample, and generating a set of performance metrics for labeling the data sample based on the benchmark score.
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