Roboflow Universe Saad Elhidaoui Truck segmentation

Truck segmentation Computer Vision Project

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This project is part of my Master's thesis in Applied Mathematics and Computer Science. The title of the thesis is "Deep Learning for Automatic Detection of Trailers and Tankers and Categorization of their Activities." The objective of this project is to develop a deep learning system that can automatically detect trailers and tankers in images or video feeds and classify their activities. This research has important applications in various fields, including transportation logistics, security, and surveillance.

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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.

Cite This Project

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

@misc{
                            truck-segmentation-tzuv1_dataset,
                            title = { Truck segmentation Dataset },
                            type = { Open Source Dataset },
                            author = { Saad Elhidaoui },
                            howpublished = { \url{ https://universe.roboflow.com/saad-elhidaoui/truck-segmentation-tzuv1 } },
                            url = { https://universe.roboflow.com/saad-elhidaoui/truck-segmentation-tzuv1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-04-28 },
                            }