Roboflow Universe College Projects Licence_Plate Detection

Licence_Plate Detection Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

29 images

Explore Dataset

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.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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 2024-06-18 },
                            }