Self-driving traffic detection Computer Vision Project

selfdriving traffic detection

Updated 9 months ago

622

views

downloads

Metrics

Try This Model

Drop an image or

browse your device

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.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Try In Browser Deploy Model

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

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 2024-12-26 },
                            }