Labelme to darknet yolo

Classification of Vehicles

Object Detection

7

Classification of Vehicles Computer Vision Project

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Here are a few use cases for this project:

  1. Intelligent Traffic Management: Utilize the "Classification of Vehicles" model to analyze real-time traffic data for better traffic flow management, optimized traffic signal timings, and identifying peak times for each type of vehicle.

  2. Smart Parking Systems: Implement the model to automatically recognize and allocate appropriate parking spaces for different types of vehicles, improving parking efficiency and reducing the need for human monitoring.

  3. Road Safety and Accident Analysis: Use the model to analyze historical traffic data and assess patterns of vehicle usage, identifying potential areas for improved road safety measures and understanding the causes of accidents involving various vehicle types.

  4. Transportation Logistics: Enhance logistics planning and fleet management by leveraging the computer vision model to optimize route planning, schedule maintenance, and track the movement of different types of vehicles within a transportation network.

  5. Security and Surveillance: Employ the "Classification of Vehicles" computer vision model to automatically identify and track vehicles in restricted areas, enhancing security measures and supporting law enforcement in detecting suspicious activities involving specific vehicle types.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            classification-of-vehicles_dataset,
                            title = { Classification of Vehicles Dataset },
                            type = { Open Source Dataset },
                            author = { Labelme to darknet yolo },
                            howpublished = { \url{ https://universe.roboflow.com/labelme-to-darknet-yolo/classification-of-vehicles } },
                            url = { https://universe.roboflow.com/labelme-to-darknet-yolo/classification-of-vehicles },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-03-28 },
                            }
                        

Connect Your Model With Program Logic

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Last Updated

8 months ago

Project Type

Object Detection

Subject

Vechicles

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Views in previous 30 days: 299

Downloads: 129

Downloads in previous 30 days: 16

License

CC BY 4.0

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