accuracy value

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

accuracy value

Taxon: local fruitt0
Outcome: accuracy valuee0
Value: 99,27%e0
Setting: Fruits-360e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorDirectionQualifier

Verbatim

e0
“the designed model produces an accuracy value of 99,27% and 99,57% on the Fruits-360 and the local datasets, respectively”
✓ located verbatim in the source · abstract, characters 1056–1177

t0
“local fruit”
✓ located after whitespace/quote normalisation · title, characters 22–33

Title

North Sulawesi Single Local Fruit Detection Using Efficient Attention Module Based on Deep Learning Architecture

Vecky C. Poekoel; Dwisnanto Putro; Jane Litouw; et al. Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) 2023. doi:10.23887/janapati.v12i2.54754

Other claims from this paper (4)

Method / resource accuracy value
Method / resource outperforms other light architectures
Method / resource higher efficiency values
Method / resource 100,488 Frames per Second

Record rev-7fa473c2ba8dd9f79cda5c6e2b44df5fa9dd6b643682430ed3c1e48287055187 · schema claims-v0.9 · position 1 in the model’s answer