Surveillance for persons and cars Computer Vision Project
Updated a year ago
This dataset is designed for the detection of persons and cars in surveillance camera footage. It can be utilized for various useful applications, including:
- Security Systems: Enhancing security measures by accurately detecting and tracking persons and cars in real-time surveillance videos.
- Traffic Monitoring: Analyzing traffic patterns, estimating congestion levels, and optimizing traffic flow by detecting and counting cars on roads or at intersections.
- Safety Enhancement: Identifying potential hazards and ensuring public safety by detecting unauthorized access or suspicious activities involving persons and cars.
- Crowd Management: Monitoring crowded areas and public events to ensure safety, identify crowd density, and estimate crowd movement by detecting and tracking persons.
- Parking Systems: Optimizing parking lot management by detecting available parking spots and monitoring the entry and exit of vehicles.
- Smart Cities: Contributing to the development of smart city infrastructure by integrating the detection of persons and cars into intelligent systems for efficient urban planning and management.
This dataset is based on images collected from various sources, including:
https://universe.roboflow.com/radoslaw-kawczak/virat-ve02s
https://universe.roboflow.com/seminar-object-detection/cars-o1ljf
With this dataset, you can train and develop machine learning models capable of accurately detecting persons and cars, thus empowering surveillance and security systems with advanced object recognition capabilities.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
surveillance-for-persons-and-cars_dataset,
title = { Surveillance for persons and cars Dataset },
type = { Open Source Dataset },
author = { JonaC22 },
howpublished = { \url{ https://universe.roboflow.com/jonac22/surveillance-for-persons-and-cars } },
url = { https://universe.roboflow.com/jonac22/surveillance-for-persons-and-cars },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2024-09-26 },
}