Dataset_1 Object Detection Dataset and Pre-Trained Model by Vehicle

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Explore Dataset

Here are a few use cases for this project:

Traffic Monitoring System: This model can be useful to governmental bodies or traffic control systems for monitoring different types of vehicles, and even humans and dogs which are present on the roads. This can lead to a better understanding of traffic patterns, congestion issues, and road safety.
Autonomous Vehicle Development: The dataset provides a broad variety of classes that an autonomous vehicle needs to recognize. Hence, this model can be helpful in training self-driving cars to better understand their surrounding environment on the road.
Parking Management System: This model can be used in smart parking systems to identify the type of vehicle entering or leaving the parking area for better space allocation and management.
Fleet Management: Companies with large fleets of vehicles (like delivery or logistics companies) can use the model to differentiate between their own vehicles (like delivery_van, cargo_van, truck, etc.) and others, allowing for improved asset tracking and management.
Security and Surveillance: The model can support CCTV and other surveillance video analytics systems in identifying different elements like humans, dogs, or specific vehicle types (like a police_van or ambulance) to automate incident detection or optimize emergency response times.

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{
                            dataset_1-tmafq_dataset,
                            title = { Dataset_1 Dataset },
                            type = { Open Source Dataset },
                            author = { Vehicle },
                            howpublished = { \url{ https://universe.roboflow.com/vehicle-hanfr/dataset_1-tmafq } },
                            url = { https://universe.roboflow.com/vehicle-hanfr/dataset_1-tmafq },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-18 },
                            }