Deltra_Delh Computer Vision Project
Here are a few use cases for this project:
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Traffic Analysis: The model can assist in recognizing different types of vehicles and people on the roads, thereby helping in analyzing traffic patterns, congestions, and vehicle types to improve the traffic system.
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Autonomous Vehicles: Autonomous or self-driving cars could utilize this model to identify other cars, bicycles, motorcycles, buses, and pedestrians on the road, aiding in decision-making and route planning on the go.
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Security and Surveillance: In a security infrastructure setup, the model can be used to detect and classify objects in surveillance videos/images – helpful in identifying unlawful vehicle use or tracking movement during potentially criminal activity.
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Augmented Reality Apps: The model can be used in AR applications to identify vehicles in real-world images and overlay relevant information such as vehicle type or estimated speed.
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Transportation Planning: Urban planners could make use of this model to assess current transportation modal splits (cars, buses, bicycles, etc.) visually captured from city scenes, aiding decision-making on infrastructure investments and policies.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
deltra_delh_dataset,
title = { Deltra_Delh Dataset },
type = { Open Source Dataset },
author = { Detra },
howpublished = { \url{ https://universe.roboflow.com/detra/deltra_delh } },
url = { https://universe.roboflow.com/detra/deltra_delh },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-03-29 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Deltra_Delh project in your project.