KoKo Computer Vision Project

VisionFlow

Updated 2 years ago

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Classes (14)
bu5
c4r
consV3h
motorbik3 p3rson tr2ck tr4ck v3hicle
vai
vai_false
vai_true
vap
vap_false
vap_true
Description

Here are a few use cases for this project:

  1. Traffic Monitoring Systems: The "KoKo" model could be effectively used in traffic monitoring systems to categorize different types of vehicles (cars, motorbikes, buses, trucks etc.) on the road, and further, identify human presence. This could help in understanding traffic patterns, congestion levels, and violations of traffic rules.

  2. Smart Parking Solutions: This model is ideal for use in smart parking solutions as it can identify different vehicle types and people, allowing accurate tracking of available parking spaces and ease of navigation within the parking lot.

  3. Surveillance and Security: KoKo can be used in surveillance systems in public and private properties. The model can spot people and different vehicles, aiding in crime detection or prevention.

  4. Retail Analytics: In retail, KoKo can be used to monitor foot and vehicle traffic at various times of the day to optimize store operations and marketing strategies.

  5. Autonomous Vehicles: The KoKo model can be potentially applied in autonomous vehicles, enabling them to identify different road objects like cars, trucks, motorcycles, people etc., providing safer navigation options.

Supervision

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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{
                            koko-jss0l_dataset,
                            title = { KoKo Dataset },
                            type = { Open Source Dataset },
                            author = { VisionFlow },
                            howpublished = { \url{ https://universe.roboflow.com/visionflow/koko-jss0l } },
                            url = { https://universe.roboflow.com/visionflow/koko-jss0l },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jan },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

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