Shortcut Learning in a Public Grape Disease Dataset: Annotation Granularity as a Modulator, Not a Cause
This story is from 2026-08-24. It is preserved in the archive; the latest stories are on the live feed.
arXiv:2608.20663v1 Announce Type: new Abstract: Public datasets for agricultural disease detection are usually judged fit for use from reported metrics, which say nothing about whether the annotation scheme is internally consistent. On one public grape disease dataset (3288 images, 11995 boxes, 6 c…
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- 2026-08-24 04:00 · arXiv cs.CV
Shortcut Learning in a Public Grape Disease Dataset: Annotation Granularity as a Modulator, Not a Cause
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