YOLOv8 bounding box recall was about 1.00.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Taxon: mandarint0
Outcome: recalle0
Value: ~ 1.00e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

Verbatim

e0
“recall ~ 1.00”
✓ located verbatim in the source · abstract, characters 937–950

t0
“mandarin”
✓ located verbatim in the source · title, characters 45–53

Title

Deep learning based instance segmentation of mandarin fruit slices for precision assessment and morphological quantification

Anh Tuan Le; Jinhyun Ahn; Thanh Tuan Thai Scientific Reports 2026. doi:10.1038/s41598-026-46784-4

Other claims from this paper (10)

Method / resource YOLOv8 bounding box precision was about 0.997.
Method / resource YOLOv8 bounding box mAP50 was about 0.995.
Method / resource YOLOv8 bounding box mAP50-95 was about 0.922.
Method / resource Semantic segmentation precision was 0.997.
Method / resource Semantic segmentation recall was about 1.00.
Method / resource Semantic segmentation mAP50 was about 0.995.
Method / resource Semantic segmentation mAP50-95 was 0.965.
Observation Training and validation losses converged steadily.
Method / resource Predicted measurements did not differ significantly from ground truth.
Method / resource Predicted measurements had low mean absolute error.

Record rev-0fa6dde739ecf32f004864f5816309d811a980f96c662c641fc5c22a685863a5 · schema claims-v0.9 · position 2 in the model’s answer