VMMRdb 2016 Computer Vision Project
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 2024-06-18 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the VMMRdb 2016 project in your project.
Source
Last Updated
8 months ago
Project Type
Object Detection
Subject
audi_tt_2016, mazda_3_2016
Views: 267
Downloads: 10
