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Better AI starts with better data: Researchers identify hidden annotation errors in object detection datasets

This story is from 2026-09-07. It is preserved in the archive; the latest stories are on the live feed.

A research team led by Sung Wook Baik, a professor in the Department of Software at Sejong University, has published a comprehensive survey examining annotation errors in widely used object detection datasets and methods for identifying and validating them.

Read the full story at TechXplore AI & ML ↗

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  1. 2026-09-07 19:20 · TechXplore AI & ML
    Better AI starts with better data: Researchers identify hidden annotation errors in object detection datasets

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