object detection Object Detection Dataset and Pre-Trained Model by programmers

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Explore Dataset

Here are a few use cases for this project:

Autonomous Navigation System: This model can be implemented in autonomous vehicles or drones for detecting and interpreting traffic signs and signals, facilitating real-time decision making and path planning.
Traffic Management Applications: This technology can be used to develop real-time traffic monitoring systems. It can identify vehicles, pedestrian crossings, and the status of traffic lights, helping inform traffic flow management and congestion control strategies.
Road Safety Analysis: The model can be used in road safety analysis by government bodies or transportation departments to understand common traffic violations and areas of possible improvement.
Augmented Reality-Based Navigation: The object detector can contribute to the development of AR navigation apps, enhancing user experience by displaying real-time traffic statuses alongside path directions.
Smart Surveillance Systems: This model can be integrated into city surveillance systems to monitor traffic rules compliance, identifying cases like ignoring red lights or pedestrian crossings, aiding law enforcement agencies.

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{
                            object-detection-itt27_dataset,
                            title = { object detection Dataset },
                            type = { Open Source Dataset },
                            author = { programmers },
                            howpublished = { \url{ https://universe.roboflow.com/programmers-kwii8/object-detection-itt27 } },
                            url = { https://universe.roboflow.com/programmers-kwii8/object-detection-itt27 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-27 },
                            }