VMMR API - VINquery.com

VMMR API 1.0 VMMR API 1.0 Live Demo

Overview

A Vehicle Make and Model Recognition (VMMR) system can provide great value in terms of vehicle monitoring and identification based on vehicle exterior appearance. A VMMR system is an important component of many applications such as automatic vehicle surveillance, traffic management, driver assistance systems, traffic behavior analysis, and traffic monitoring, etc. Our VMMR system can help greatly reduce the cost for such applications. It recognizes vehicles on the basis of make, model, and generation (group of consecutive manufacturing years).

Training an effective VMMR system certainly brings some unique challenges and issues, including image acquisition, variations in illuminations and weather, occlusions, shadows, reflections, large variety of vehicles, inter-class and intra-class similarities, addition/deletion of vehicles’ models over time, etc. With our deep-learning model running behind the scene, we provide a unique and robust VMMR system which can handle all the challenges described above and recognize vehicles with reasonably high accuracy.

Core Technology: Tensorflow & YOLO V4 Based AI Model

Trained on our huge collection of vehicle images with Tensorflow 2.x and YOLO V4, our VMMR API provides a solution to classify vehicles by their make, model, body style and generation from images. The capabilities provided so far are as follows:

Makes/brands: 43 Click here for a complete list of makes/brands covered
Models: 659 (A complete list of models covered is comming soon...)
Generation: 2010 to 2021 (Generation data won't be available until VMMR API 2.0)
Markets: passenger cars, including light-duty pickup trucks, made and marketed for US and Canadian markets
Detection angles: multiple, including front, rear, side, etc

VMMR API Examples

VMMR API works reasonably well on still pictures. It has never been tested on videos.


    <VMMR>
        <Make>Cadillac</Make>
        <Model>XT5</Model>
        <Generation>2017-2019</Generation>
        <Body_Style>SUV</Body_Style>
        <Doors>4D</Doors>
        <Confidence>0.92</Confidence>
        <Left>35</Left>
        <Top>81</Top>
        <Width>577</Width>
        <Height>316</Height>
    </VMMR>


<VMMR>
    <Make>Cadillac</Make>
    <Model>XT5</Model>
    <Generation>2017-2019</Generation>
    <Body_Style>SUV</Body_Style>
    <Doors>4D</Doors>
    <Confidence>0.92</Confidence>
    <Left>35</Left>
    <Top>81</Top>
    <Width>577</Width>
    <Height>316</Height>
</VMMR>


    <VMMR>
        <Make>Cadillac</Make>
        <Model>XT5</Model>
        <Generation>2017-2019</Generation>
        <Body_Style>SUV</Body_Style>
        <Doors>4D</Doors>
        <Confidence>0.92</Confidence>
        <Left>35</Left>
        <Top>81</Top>
        <Width>577</Width>
        <Height>316</Height>
    </VMMR>