WSAmet

Tugas Akhir

Object Detection

1

Tugas Akhir Computer Vision Project

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Here are a few use cases for this project:

  1. Traffic Management Systems: The "Tugas Akhir" model can be integrated in traffic monitoring cameras to identify vehicle types in real time, enabling traffic controllers to develop better traffic control strategies based on different classes of vehicles on the road.

  2. Safe Driving Applications: The model can be used in dashcam software or autonomous driving systems to detect various types of vehicles, helping the system make better decisions to increase road safety, such as by gauging appropriate following distances.

  3. Vehicle-based Market Research: Companies or governments could use the model to analyze surveillance camera footage and gather data about local vehicle usage patterns, helping them understand the automobile market trends.

  4. Intelligent Parking Systems: The model can be applied in parking lots to recognize vehicle types, optimizing space usage by assigning suitable parking slots for different types of vehicles and enhancing operator efficiency.

  5. Law Enforcement and Security: The model can assist in the identification of specific vehicle types involved in criminal activities or traffic violations, improving the triage process in surveillance footage analysis.

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{
                            tugas-akhir-tobcw_dataset,
                            title = { Tugas Akhir Dataset },
                            type = { Open Source Dataset },
                            author = { WSAmet },
                            howpublished = { \url{ https://universe.roboflow.com/wsamet/tugas-akhir-tobcw } },
                            url = { https://universe.roboflow.com/wsamet/tugas-akhir-tobcw },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-05-19 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Tugas Akhir project in your project.

Source

WSAmet

Last Updated

5 months ago

Project Type

Object Detection

Subject

cars

Views: 164

Views in previous 30 days: 3

Downloads: 9

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

HeavyVehicle LightVehicle Motorcycle
helmet
2000 images
big-bus-big-truck-bus-l-bus-s-car-mid-truck-small-bus-small-truck-truck-l-truck-m-truck-s-truck-xl-
679 images