batch_1 Computer Vision Project

anntotators group one

Updated 3 years ago

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Classes (11)
fireHydrant
invalidSpot-entrance
invalidSpot-fireHydrant
invalidSpot-redCurb
invalidSpot-whiteCurb
invalidSpot-yellowCurb
parkingSpots
spot-1
spot-2
spot-3
spot-4
Description

Here are a few use cases for this project:

  1. Parking Management Application: batch_1 model can be used in a parking management app to monitor and track available, occupied, and invalid parking spots in real-time, helping drivers find available parking spaces while avoiding illegal parking locations.

  2. Traffic and Parking Enforcement: Law enforcement agencies can integrate the batch_1 model into surveillance systems to identify vehicles parked in invalid spots or near fire hydrants, allowing them to enforce parking rules and issue fines more efficiently.

  3. Urban Planning and Development: City planners can use batch_1 to analyze parking usage and allocation, ensuring proper distribution of parking spots and identifying areas where modification or additional parking infrastructure is needed.

  4. Mobility-as-a-Service Provider: Companies offering ride-sharing, car-sharing, or autonomous transportation services can incorporate batch_1 model to guide their vehicles to available parking spaces, avoid parking in invalid spots, and optimize the use of parking resources.

  5. Accessibility and Inclusivity: batch_1 model can help identify and monitor designated accessible parking spots, ensuring that they are available and unobstructed for people with disabilities, ensuring a more inclusive urban environment.

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{
                            batch_1_dataset,
                            title = { batch_1 Dataset },
                            type = { Open Source Dataset },
                            author = { anntotators group one },
                            howpublished = { \url{ https://universe.roboflow.com/anntotators-group-one/batch_1 } },
                            url = { https://universe.roboflow.com/anntotators-group-one/batch_1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jan },
                            note = { visited on 2024-11-22 },
                            }