Roboflow Universe selfdriving traffic detection Self-driving traffic detection

Self-driving traffic detection Computer Vision Project

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Images

9900 images

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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.

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{
                            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 2024-04-27 },
                            }