Self-driving traffic detection Computer Vision Project

selfdriving traffic detection

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Description

A dataset that contains about 9900 raw images, augmented using rotation and blur noise.

Dataset consists of 10 classes: biker, car, pedestrian, trafficLight, trafficLight-green, trafficLight-GreenLeft, trafficLight-Red, trafficLight-RedLeft, trafficLight-Yellow, truck.

Several annotations are not correct, for example some bounding boxes for classes are overlapping and some objects are not very accurate identified in images. Therefore, the dataset requires some improvements.

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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{
                            self-driving-traffic-detection_dataset,
                            title = { Self-driving traffic detection Dataset },
                            type = { Open Source Dataset },
                            author = { selfdriving traffic detection },
                            howpublished = { \url{ https://universe.roboflow.com/selfdriving-traffic-detection/self-driving-traffic-detection } },
                            url = { https://universe.roboflow.com/selfdriving-traffic-detection/self-driving-traffic-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-11-23 },
                            }