Vehicle Classification V2 Computer Vision Project
Updated a year ago
1.7k
78
Metrics
Here are a few use cases for this project:
-
Traffic Management Systems: This model can be integrated into traffic management systems to identify and classify different types of vehicles on the road, enabling smarter decision-making to improve flow and reduce congestions.
-
Security Surveillance: The model can be used in security cameras (like those in parking lots or on roads) to classify and log vehicles entering and exiting a premise, which could help track suspicious or unauthorized vehicles.
-
Road Safety Analysis: By tracking and analyzing the movement and behavior of different types of vehicles, such as Buses, Sedans, and Motorbikes, the model could assist in enhancing road safety and assist in accident investigations.
-
Smart City Infrastructure: City planners can use the data provided by the model to understand the types and volumes of vehicles utilizing different streets and districts, aiding in urban planning and public transportation decision-making.
-
Vehicle Insurance: Insurance companies can use this model to verify and classify the types of vehicles for which insurance policies are being bought- or claimed - reducing fraudulent claims.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
vehicle-classification-v2_dataset,
title = { Vehicle Classification V2 Dataset },
type = { Open Source Dataset },
author = { Vehicle Classfication },
howpublished = { \url{ https://universe.roboflow.com/vehicle-classfication/vehicle-classification-v2 } },
url = { https://universe.roboflow.com/vehicle-classfication/vehicle-classification-v2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { sep },
note = { visited on 2024-11-21 },
}