MODOT Tracker

VMMRdb 2016

Object Detection

VMMRdb 2016 Computer Vision Project

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Images

707 images
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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.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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 2024-02-27 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the VMMRdb 2016 project in your project.

Source

MODOT Tracker

Last Updated

4 months ago

Project Type

Object Detection

Subject

audi_tt_2016, mazda_3_2016

Classes

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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License

CC BY 4.0

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