Method / resourcemodel-written summary

YOLO12s-seg achieved a segmentation mask mAP 50 of 99.4% for plants and curds in sparsely planted images.

A claim from High-throughput phenotypic analysis of plant and curd growth dynamics during the whole growth period of cauliflower based on instance segmentation · 2026

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

YOLO12s-seg achieved a segmentation mask mAP 50 of 99.4% for plants and curds in sparsely planted images.

Outcome
segmentation mask mAP 50e0
Value
99.4%e0
Setting
sparsely planted imagese0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorDirectionQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Brassica oleracea var. botrytis
Brassica oleracea var. botrytis · TaxonSusan Slater · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“cauliflower”

✓ located verbatim in the source · title, characters 104–115
e0

“segmentation mask mAP 50 of 99.4% for plants and curds in sparsely planted images”

✓ located verbatim in the source · abstract, characters 730–811

Title

High-throughput phenotypic analysis of plant and curd growth dynamics during the whole growth period of cauliflower based on instance segmentation

Saichuan Cheng; Sidi Wu; Qingqing Shao; et al. Frontiers in Plant Science 2026. doi:10.3389/fpls.2026.1836813

Other claims from this paper (8)

Record rev-64ef0f1124b4a245653ec946fb9137361065e2c7a462cc140261c0baf53b7486 · schema claims-v0.9 · position 2 in the model’s answer