Sign inGet started
Paper · arXiv

Benchmarking Vision-Language Models for Microscopic Plant Image Understanding

Microscopic imaging provides essential visual evidence for studying plant biology and pathology at the cellular and subcellular levels. However, existing benchmarks on vision-language models primarily focus on macroscopic plant imagery, while the microscopic domain remains underexplored. To address this gap, we present PlantMicro, a comprehensive benchmark for evaluating vision-language models (VLMs) in microscopic plant imagery. PlantMicro integrates more than 5,000 images collected across diverse hosts, biological domains, and imaging modalities. Building on this diversity, we design a set of complementary tasks that capture different facets of microscopic image understanding. To suppor...

AuthorsTianqi Wei, Xin Yu, Zhi Chen et al.
Primary categorycs.CV
Published21 June 2026
Last updated at source24 June 2026
cs.CV
Embed this entry
<iframe src="https://silytics.si/embed/item/8fd8fdff-5b4d-4602-b0bc-11a1b7eed34f" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Connected in the knowledge graph

Explore this entry in the graph

Models and datasets referencing this paper

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.