CAMP2_YOLOX Object Detection Dataset and Pre-Trained Model by CAMP2YOLOX

Images

9284 images

Explore Dataset

Here are a few use cases for this project:

Smart Traffic Management: The CAMP2_YOLOX model could be used for managing traffic in real-time. It can help in recognizing signals and controlling traffic flow in the cities, which can result in lower traffic congestion and reduced carbon emissions.
Autonomous Driving: Self-driving vehicles could use this model to not only understand traffic signs and different prohibitions but also to detect zebra crossings, school zones, and pedestrians, increasing the overall safety of the autonomous technology.
Urban Planning and Infrastructure Development: Using the model to analyze collected traffic data may guide decisions on infrastructure modifications, such as where to add pedestrian crossings or modify traffic signals.
Surveillance and Security: Installed surveillance cameras could use CAMP2_YOLOX to improve pedestrian safety, alarm traffic rule violations, or detect unusual activity in controlled areas like school zones.
Virtual Simulation and Training: This model could be integrated into driving simulation programs to help new drivers familiarize themselves with different traffic signs and situations, potentially improving driving education courses.

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{
                            camp2_yolox_dataset,
                            title = { CAMP2_YOLOX Dataset },
                            type = { Open Source Dataset },
                            author = { CAMP2YOLOX },
                            howpublished = { \url{ https://universe.roboflow.com/camp2yolox/camp2_yolox } },
                            url = { https://universe.roboflow.com/camp2yolox/camp2_yolox },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-04-27 },
                            }