AITDATA Computer Vision Project

VisionFlow

Updated 2 years ago

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Classes (10)
c4r
consV3h
motorbik3 p3rson tr2ck v3hicle
vai_false
vai_true
vap_false
vap_true
Description

Here are a few use cases for this project:

  1. Traffic Monitoring and Management: The "AITDATA" model could be used to build intelligent traffic management systems. It could monitor real-time traffic, identify different types of vehicles (cars, trucks, motorbikes), and count the number of pedestrians. This application could be valuable for city planning, congestion prediction, and increasing overall traffic efficiency.

  2. Security and Surveillance: The model can be applied in public space surveillance to detect, track, and distinguish between different objects and people. It can separate real threats (vai_true/vap_true) from false alarms (vai_false/vap_false), mitigating response times for security personnel.

  3. Autonomous Vehicles: 'AITDATA' can be of great value in the field of autonomous driving. The ability to identify different objects such as vehicles of various types and pedestrians is central to developing self-driving cars.

  4. Retail Analytics: This model can be used to track customer behavior in a retail store by differentiating people from non-living objects and distinguishing between potentially interested customers (vai_true/vap_true) and non-interested ones (vai_false/vap_false).

  5. Digital Gaming and Simulations: The 'AITDATA' model could be used in the creation of more realistic and immersive digital games or virtual reality simulations. By effectively identifying different object classes, it could contribute to creating a dynamic environment that responds to the player's actions.

Supervision

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Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            aitdata_dataset,
                            title = { AITDATA Dataset },
                            type = { Open Source Dataset },
                            author = { VisionFlow },
                            howpublished = { \url{ https://universe.roboflow.com/visionflow/aitdata } },
                            url = { https://universe.roboflow.com/visionflow/aitdata },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-11-24 },
                            }
                        
                    

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