MS-COCO - ms coco label quality gap object detection a tally slab with six pegs and one empty socket

MS-COCO Has Every Annotation Error Type and No Error Count: The Gap in Object Detection’s Top Benchmark

September 7, 2026
Artificial Intelligence
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MS-COCO is the benchmark almost every object detector reports against, and a new Sejong University survey has just published a table that flags it for all seven annotation error types it defines. The same survey publishes a second table that counts errors in six benchmarks by hand. MS-COCO is not in it. That combination — […]

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Better AI Starts With Better Data: The Hidden Annotation Errors in Object Detection Datasets

September 7, 2026
Artificial Intelligence
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Annotation errors are not a rounding error in the benchmarks the computer vision industry has trusted for a decade. Bounding boxes and class labels are the ground truth that every artificial intelligence vision system is trained on and then graded against, so a mistake in the labels is a mistake the model inherits twice over. […]

Sejong University

MS-COCO Has Every Annotation Error Type and No Error Count: The Gap in Object Detection’s Top Benchmark

Better AI Starts With Better Data: The Hidden Annotation Errors in Object Detection Datasets

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