This dataset, called SSIG SegPlate Database, aims at evaluating the License Plate Character Segmentation (LPCS) problem. The experimental results for the paper Benchmark for License Plate Character Segmentation (link to the research page) were obtained using a dataset providing 101 on-track vehicles captured during the day. The video was recorded using a static camera in the early 2015.
The images of the dataset were acquired with a digital camera in Full-HD and are available in the Portable Network Graphics (PNG) format with size of 1920×1080 pixels each. The average size of each file is 4.08 Megabytes (a total of 8.60 Gigabytes for the entire dataset). In addition, since there are some approaches that track the car to utilize redundant information to improve the recognition results, we decided to make a dataset with multiples frames per car. In this dataset, there are, on average, 19.80 image frames per vehicle (with a standard deviation of 4.14).
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The license agreement MUST be reviewed and signed by the individual or entity authorized to make legal commitments on behalf of the institution or corporation (e.g., Department or Administrative Head or similar). We cannot accept licenses signed by students or faculty members.
You should cite the following paper you use this dataset in your work.
|1.||(2016): Benchmark for License Plate Character Segmentation. In: Journal of Electronic Imaging, 25 (5), pp. 1-5, 2016, ISBN: 1017-9909.|