Road signs Computer Vision Project

Machine learning for vision and multimedia project

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Description

Road Recognition Dataset

Description This dataset was created for the Machine Learning for Vision and Multimedia exam at Politecnico di Torino. It contains annotated images of various road elements, including cars, people, bicycles, pedestrian crossings, and other traffic signs. The primary objective of this dataset is to support the development and evaluation of computer vision algorithms for the recognition and classification of road objects.

Dataset Contents The dataset consists of high-resolution images captured in various lighting and weather conditions. The annotated object categories in the dataset include:

Cars
Trucks
People
Bicycles
Pedestrian crossings
Traffic signs (various types, such as stop signs, yield signs, etc.)

Each image has been carefully annotated to include bounding boxes around the objects of interest, there may be errors.

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LICENSE

CC BY 4.0

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

                        @misc{
                            road-signs-stqmv_dataset,
                            title = { Road signs Dataset },
                            type = { Open Source Dataset },
                            author = { Machine learning for vision and multimedia project },
                            howpublished = { \url{ https://universe.roboflow.com/machine-learning-for-vision-and-multimedia-project/road-signs-stqmv } },
                            url = { https://universe.roboflow.com/machine-learning-for-vision-and-multimedia-project/road-signs-stqmv },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2024-11-21 },
                            }