reCAPTCHA 450 Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Autonomous Vehicle Navigation: This model can be used in autonomous vehicles to identify different elements on the road like tractors, buses, taxis, bicycles, motorcycles, and crosswalks. By interpreting these elements, the vehicle can make decisions regarding movement and safety.
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Urban Planning Software: The model can assist urban planners by analyzing street footage to understand the common traffic constituents (cars, bicycles, buses, etc.), crossings, and traffic lights distribution. This helps in making informed decisions on infrastructure planning and development.
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Intelligent Traffic Management System: The system can use this model to recognize different types of vehicles, traffic lights, and crosswalks, providing data support for intelligent traffic signal control and improving traffic efficiency.
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Augmented Reality Applications: In AR based pedestrian navigation systems, this model can provide real-time detection and identification of multiple objects, aiding in a more immersive and accurate user experience.
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Security & Surveillance: This model can be used in surveillance camera systems to specifically identify and track certain elements like a particular type of vehicle or a motorcycle in a specified area, aiding in law enforcement and security.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
recaptcha-450_dataset,
title = { reCAPTCHA 450 Dataset },
type = { Open Source Dataset },
author = { reCAPTCHA 100 },
howpublished = { \url{ https://universe.roboflow.com/recaptcha-100/recaptcha-450 } },
url = { https://universe.roboflow.com/recaptcha-100/recaptcha-450 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-21 },
}