irImageDetection Object Detection Dataset and Pre-Trained Model by rajawali

Images

423 images

Explore Dataset

Here are a few use cases for this project:

Traffic Monitoring and Management: The 'irImageDetection' model can be used in creating solutions for smart cities where it can monitor traffic in real time. It can help in recognizing and counting different types of vehicles such as cars, motorcycles, and buggies in various traffic scenarios to optimize traffic flow and reduce congestion.
Security and Surveillance: Security camera feeds can use the computer vision model to identify and track the presence of people and different types of vehicles in restricted areas or during certain hours. If any unusual activity is detected, the system can alert the relevant authorities.
Automated Parking Systems: The model can assist in developing an intelligent parking system to detect and track the number and types of vehicles in parking lots. It can help efficiently manage space, resulting in fewer parking issues and increasing customer satisfaction.
Autonomous Vehicles: 'irImageDetection' can be incorporated in autonomous driving systems for detecting various categories of road users including pedestrians, cars, motorcycles, and trucks. This is crucial for the vehicles to make appropriate decisions while ensuring safety.
Retail Analysis: For businesses like automobile dealerships and motor shops, the computer vision model can be used to track customer preferences by identifying which kind of vehicles (car, motorcycle, atv, scooter, etc.) are examined the most by the customers. This can provide potential insights for inventory management and sales strategies.

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{
                            irimagedetection_dataset,
                            title = { irImageDetection Dataset },
                            type = { Open Source Dataset },
                            author = { rajawali },
                            howpublished = { \url{ https://universe.roboflow.com/rajawali/irimagedetection } },
                            url = { https://universe.roboflow.com/rajawali/irimagedetection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-04-20 },
                            }