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Computer Vision for License Plate Recognition Challenge

Helping Tunisia
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Computer Vision
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The data provided in this challenge is divided into 3 sets:

  • A train set of 900 images, where each image contains only one car and one license plate. The annotations provided are the bounding box coordinates (ymin, xmin, ymax, xmax)
  • A second train set of 900 images, where each image contains a license plate. The annotations provided are the characters in the license plate.
  • A test set of 201 images, similar to the first training set, where you have to perform both license plate detection and recognition, however, you will be evaluated on recognition only.
Files
Description
Files
Test resembles Train.csv but without the target-related columns. This is the dataset on which you will apply your model to.
Train contains the target. This is the dataset that you will use to train your model.
Train contains the target. This is the dataset that you will use to train your model.
Train contains the target. This is the dataset that you will use to train your model.
Train contains the target. This is the dataset that you will use to train your model.
Is an example of what your submission file should look like. The order of the rows does not matter, but the names of the "ID" must be correct.

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