VMMRdb 2016 Computer Vision Project

MODOT Tracker

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Classes (68)
Acura MDX 2016
Audi TT 2016
Chevrolet Colorado 2016
Chevrolet Cruze 2016
Chevrolet Express 2016
Chevrolet Malibu 2016
Chevrolet S10 2016
Chevrolet Silverado 2016
Chevrolet Sonic 2016
Chevrolet Tahoe 2016
Dodge Challenger 2016
Dodge Journey 2016
Dodge Ram 1500 2016
Fiat 500 2016
Ford Escape 2016
Ford F150 2016
Ford F250 2016
Ford F350 2016
Ford Fiesta 2016
Ford Mustang 2016
Ford Transit 2016
GMC Denali 2016
Honda Accord 2-door 2016
Honda Accord 4-door 2016
Honda CR-V 2016
Honda Civic 2016
Honda HR-V 2016
Honda Odyssey 2016
Honda Pilot 2016
Hyundai Accent 2016
Hyundai Elantra 2016
Hyundai Sonata 2016
Hyundai Tucson 2016
Jeep Grand-Cherokee 2016
Jeep Patriot 2016
Jeep Renegade 2016
Jeep Wrangler 2016
Kia Forte 2016
Lexus IS-200 2016
Mazda 3 2016
Mazda MX-5 Miata 2016
Mercedes-Benz E350 2016
Mercedes-Benz GLA-250 2016
Mercedes-Benz GLA-45 2016
Mercedes-Benz Sprinter 2016
Nissan Altima 2016
Nissan Maxima 2016
Nissan Murano 2016
Nissan Rogue 2016
Nissan Sentra 2016
Nissan Versa 2016
Pontiac G6 2016
Ram 1500 2016
Ram 2500 2016
Subaru Forester 2016
Subaru Legacy 2016
Subaru WRX 2016
Toyota 4Runner 2016
Toyota Camry-LE 2016
Toyota Highlander 2016
Toyota Landcruiser 2016
Toyota Prius 2016
Toyota Rav4 2016
Toyota Scion 2016
Toyota Tacoma 2016
Toyota Tundra 2016
Volkswagen Jetta 2016
Volkswagen Passat 2016

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Description

Vehicle Make and Model Recognition 2016 dataset (VMMRdb)

This is a small subset of the Vehicle Make and Model Recognition dataset (VMMRdb) containing only the images of vehicles which year is 2016. This consists of 707 images and 68 different classes of vehicle make and models. I have gone through and annotated each image myself with bounding boxes and their corresponding vehicle make model and year (e.g. "Acura MDX 2016")

The full dataset consists of 9,170 classes consisting of 291,752 images, covering models manufactured between 1950 and 2016.

The full dataset can be found here: https://github.com/faezetta/VMMRdb

A Large and Diverse Dataset for Improved Vehicle Make and Model Recognition F. Tafazzoli, K. Nishiyama and H. Frigui In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2017.

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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{
                            vmmrdb-2016_dataset,
                            title = { VMMRdb 2016 Dataset },
                            type = { Open Source Dataset },
                            author = { MODOT Tracker },
                            howpublished = { \url{ https://universe.roboflow.com/modot-tracker-esjts/vmmrdb-2016 } },
                            url = { https://universe.roboflow.com/modot-tracker-esjts/vmmrdb-2016 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-12-22 },
                            }