Road-users-detection 2 Computer Vision Project
Our dataset consists of a collection of images and annotations of various transportation objects and people.
Specifically, we focus on six different classes: person, car, bicycle, motorcycle, bus, and train. The data was originally sourced from the well-known COCO dataset from 2017, which contains a much larger number of object classes. However, we filtered the labels using a Python code to select only the classes of interest for our dataset.
As a result, our dataset is tailored for use cases that specifically involve these six classes. Each image in the dataset is annotated with bounding boxes that correspond to the location of each object instance in the image.
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.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
road-users-detection-2_dataset,
title = { Road-users-detection 2 Dataset },
type = { Open Source Dataset },
author = { Anis RoadUsersYOLOv8 },
howpublished = { \url{ https://universe.roboflow.com/anis-roadusersyolov8/road-users-detection-2 } },
url = { https://universe.roboflow.com/anis-roadusersyolov8/road-users-detection-2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2024-04-29 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Road-users-detection 2 project in your project.