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	<title>potato disease classification &#8211; BIOENGINEER.ORG</title>
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		<title>Potato Leaf AI Study Reveals Visual Similarity Is Not Leaf Identity</title>
		<link>https://bioengineer.org/potato-leaf-ai-study-reveals-visual-similarity-is-not-leaf-identity/</link>
		
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		<pubDate>Mon, 26 Oct 2026 18:00:39 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[balanced accuracy]]></category>
		<category><![CDATA[convolutional neural networks]]></category>
		<category><![CDATA[data leakage]]></category>
		<category><![CDATA[DINOv2]]></category>
		<category><![CDATA[evaluation methodology]]></category>
		<category><![CDATA[grouped holdout]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[plant pathology]]></category>
		<category><![CDATA[PlantVillage]]></category>
		<category><![CDATA[potato disease classification]]></category>
		<category><![CDATA[specimen identity]]></category>
		<category><![CDATA[vision transformer]]></category>
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					<description><![CDATA[A 240-run reevaluation of potato disease classifiers shows that DINOv2 visual clusters poorly match published leaf identities and that grouped holdout splits reduce balanced accuracy by up to 9.54 percentage points.]]></description>
		
		
		
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