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carmanufacturerbrand/3 (latest)
carManufacturerBrand Computer Vision Project
travaux
Updated 2 months ago
Classes (29)
Audi_A3
Audi_A4
bmw_serie1
chevrolet_Malibu
citroen_C3
citroen_C4
dacia_Sandero
fiat_500
ford_Transit
freightliner_M2_106
gillig_Low_Floor
international_4300
isuzu_Hd
kia_Optima
mercedes_Benz_Metris
mini_Cooper
new_Flyer_Xcelsior
nissan_Altima
nissan_NV200
nova_Bus_LFS
peugeot_3008
peugot_208
prevost_H3_45
renault_Captur
renault_Clio
tesla
toyota_Camry
volkswagen_Polo
volkswagen_Transporter
Metrics
mAP is equal to the average of the Average Precision metric across
all
classes in a
model.
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mAP
Precision measures how often your model's predictions are correct.
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Precision
Recall measures what percentage of relevant labels were successfully
identified.
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Recall
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Cite This Project
LICENSE
CC BY 4.0
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
carmanufacturerbrand_dataset,
title = { carManufacturerBrand Dataset },
type = { Open Source Dataset },
author = { travaux },
howpublished = { \url{ https://universe.roboflow.com/travaux/carmanufacturerbrand } },
url = { https://universe.roboflow.com/travaux/carmanufacturerbrand },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { jan },
note = { visited on 2025-03-01 },
}
