PANMMVRDataset - Make and Model Vehicle Recognition DataBase

The experiments for the Make and Model Vehicle Recognition (MMVR) system use a Training Database (ISIR_LPReditor_dbtrain) along with a Test Database (ISIR_LPReditor_dbtest).
These databases contain information of 20 different vehicle types, where each type was placed in a specific folder:
The following table displays the databases' composition:
ClassTestTrain
Ci_Berlingo_A141
Ci_C3411
Ci_Picasso_B284
Ci_Saxo_B239
Fi_Punto_A223
Pe_206_B5110
Pe_3074312
Pe_405246
Pe_406_B306
Re_19_B365
Re_Clio_A297
Re_Clio_C4715
Re_Clio_D8031
Re_Laguna_B345
Re_Scenic_B254
Re_Scenic_C274
Re_Twingo_A5019
Re_Twingo_B3415
VW_Golf_C404
VW_Golf_D305

Databases' labels
The type folders each contain a "fts" folder with a data file for every single vehicle image. Each type folder contains a "fts" folder with a data file for every single vehicle image.

img.jpg -> fts\img_plq.dat

The data files have information of the four-corners coordinates of the vehicle's license plate.

image_originale (146K)
image_affine (11K)

The information in the img_plq.dat file is the line :

540 666 820 661 824 715 540 719

providing (x,y) coordinates of the four points: A = (540,666), B = (820,661), and so on.
A ROI is defined by the points {A,B,C,D}, being independent of the location of the vehicle in the image or of its scale. In order to correct the orientation of the original image, an affine transformation allows to move original points {A,B,C,D} to the desired {A',B',C',D'} reference position, considering the vehicle grille and the license plate in the same plan.

Results

All ours experiments have been carried out on the Training Base and on the Test Base. The former is used to produce the oriented-contour point models of the vehicle classes. While the last is utilized to evaluate the performance of the classification system. The last results of my algorithm are publied in my PhD thesis: 94.2 % of well classifications. In page 183 you can find the confusion matrix.

Using the Databases

The databases, whose copyrights belong to the Institut des Systèmes Intelligents et Robotique and LPREditor, are free of charge.
Any commercial use of the databases is strictly forbidden.
All the vehicles' license plates where blurred to avoid violation of privacy rights.

Please give appropriate acknowledgements when using these databases and quote the following paper :

[ICPR06] Pablo Negri, Xavier Clady, Maurice Milgram, Raphael Poulenard, "An Oriented-Contour Point Based Voting Algorithm for Vehicle Type Classification" , International Conference of Pattern Recognition, Hong Kong, 20-24 august 2006 [bib].

These databases can be referred as "ISIR-LPReditor Make & Model Vehicle Recognition DataBases" (ISIR_LPReditor MMVR).

Should you wish to use the databases, please send us an email with a brief explanation of the intended usage (in English, French or Spanish) and we will immediately provide the passwords to unzip the files:

pnegri [ a ] telecentro . com . ar
xavier . clady [ a ] upmc . fr

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