Method / resourcemodel-written summary

The YOLOv8n tree species identification model achieves 99.2% mAP.

A claim from Vision-Based System for Tree Species Recognition and DBH Estimation in Artificial Forests · 2025

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The YOLOv8n tree species identification model achieves 99.2% mAP.

Taxon
treee0
Outcome
mAPe0
Value
99.2%e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

Verbatim

e0

“a tree species identification model is established based on the YOLOv8n network, achieving 98.5% accuracy, 99.0% recall, and 99.2% mAP”

✓ located verbatim in the source · abstract, characters 682–816

Title

Vision-Based System for Tree Species Recognition and DBH Estimation in Artificial Forests

Zhiheng Lu; Yu Li; Chong Li; et al. Forests 2025. doi:10.3390/f17010017

Other claims from this paper (5)

Record rev-52f5ecf6b48d23a441af8ed7555df8cc4371ce22d17e9ee2d80d4a38e56d279b · schema claims-v0.9 · position 3 in the model’s answer