Method / resourcemodel-written summary

The improved model increased bounding box precision over YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNN and Mask2Former by 9.6%, 5.2%, 5.7%, 12.3%, 13.3% and 5.0% respectively.

A claim from Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg · 2026

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The improved model increased bounding box precision over YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNN and Mask2Former by 9.6%, 5.2%, 5.7%, 12.3%, 13.3% and 5.0% respectively.

Outcome
bounding box precisione0
Direction
increasede0
Value
9.6%, 5.2%, 5.7%, 12.3%, 13.3% and 5.0%e0
Comparator
YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNNe1

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingQualifier

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

t0

“cherry tomato”

✓ located verbatim in the source · title, characters 70–83
e0

“the bounding box precision increased by 9.6%, 5.2%, 5.7%, 12.3%, 13.3% and 5.0%”

✓ located verbatim in the source · abstract, characters 1720–1799
e1

“YOLOv7-Mask, YOLOv8n-Seg, YOLOv9s-Seg, YOLO11n-Seg, Mask R-CNN”

✓ located verbatim in the source · abstract, characters 1591–1653

Title

Lightweight MSW-YOLOv8n-Seg: the instance segmentation of maturity on cherry tomato with improved YOLOv8n-Seg

Ronghui Miao; Zhiwei Li Frontiers in Plant Science 2026. doi:10.3389/fpls.2025.1731580

Other claims from this paper (8)

Record rev-65a3b9288c4b26a36f8346badf9891d1ecc7b6c70badbae7193a6cdb53e96eae · schema claims-v0.9 · position 5 in the model’s answer