Licence_Plate Detection Computer Vision Project

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Description

I developed a license plate detection model using a dataset consisting of 160 training images, 24 validation images, and 12 test images. During preprocessing, I applied various transformations, including image resizing, rotation, blurring, and cropping, to enhance the model's robustness. This augmented dataset ensures the model's ability to accurately detect license plates under diverse conditions, contributing to its overall performance and reliability in real-world scenarios. The combination of strategic preprocessing and effective annotation enhances the model's adaptability and precision in recognizing license plates within varying environmental and image conditions.

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CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            licence_plate-detection_dataset,
                            title = { Licence_Plate Detection Dataset },
                            type = { Open Source Dataset },
                            author = { College Projects },
                            howpublished = { \url{ https://universe.roboflow.com/college-projects-dmhkp/licence_plate-detection } },
                            url = { https://universe.roboflow.com/college-projects-dmhkp/licence_plate-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jan },
                            note = { visited on 2024-12-01 },
                            }
                        
                    

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