Crisc_Day_2_11_22 Computer Vision Project

Tiller RnD

Updated 2 years ago

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Classes (26)
.
Auto_Rickshaw
Auto_Tempo
Bicycle Bus
CNG
Car
Covered_Van
Cycle_Rickshaw
Dog
Heavy_Truck
Human_Hauler
Jeep
Micro_Bus
Motor_Cycle
Others
Person Pick_Up
Rickshaw_Van
Special_Ambulance
Special_Army_Vehicle
Special_Fire_Truck
Special_Police_Van
Tanker
Truck
firetrucks
Description

Here are a few use cases for this project:

  1. Traffic Analysis and Management: "Crisc_Day_2_11_22" can be used by city planning and traffic management departments to analyze and monitor road traffic, understand traffic patterns, and identify areas with high congestion, allowing for the implementation of better traffic control measures and optimized city planning efforts.

  2. Surveillance and Security: Law enforcement agencies can use this model to monitor public spaces, identify specific vehicle types, enhance surveillance activities, and track movements of special or suspicious vehicles (e.g., fire trucks or Special_Police_Vans) to ensure public safety.

  3. Parking Management: Businesses and parking infrastructure operators can utilize this model to track and categorize vehicles entering and exiting parking spaces or facilities, allowing for automated billing systems and better control of parking spot availability.

  4. Autonomous Vehicle Development: Companies working on self-driving technology can use "Crisc_Day_2_11_22" for training and testing their autonomous vehicles' perception modules, helping them identify different vehicle types and pedestrians in a variety of real-world scenarios.

  5. Disaster Response and Emergency Services: This computer vision model can be integrated into the surveillance systems of emergency response teams, enabling them to efficiently spot and track special vehicles like fire trucks, ambulances, and army vehicles during disasters or crisis situations, improving coordination and response times.

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{
                            crisc_day_2_11_22_dataset,
                            title = { Crisc_Day_2_11_22 Dataset },
                            type = { Open Source Dataset },
                            author = { Tiller RnD },
                            howpublished = { \url{ https://universe.roboflow.com/tiller-rnd-qanjh/crisc_day_2_11_22 } },
                            url = { https://universe.roboflow.com/tiller-rnd-qanjh/crisc_day_2_11_22 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-12-18 },
                            }
                        
                    

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