capstone Computer Vision Project

3Feb training

Updated a year ago

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Classes (19)
AAH
ATM
Block
Childcare
FH
Fitness
Forward
Handicap
Hawker
Left
Lift
MRT
Ramp Right Stairs
Supermarket
TC
Toilet
UCC

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Description

Here are a few use cases for this project:

  1. Navigational Aid for People with Visual Impairments: The "capstone" model could be used in a mobile app to help visually-impaired individuals navigate through cities by identifying signs and arrows and providing audible prompts based on these findings.

  2. Advanced Driver Assistance Systems (ADAS): This model can be incorporated in car systems to assist drivers by recognizing and interpreting road signs and arrows, alerting drivers to relevant information such as handicapped parking areas, ramps, MRT stations and more.

  3. Building Management Systems: The model could be integrated into building management systems to monitor signs visibility in places such as shopping malls or public buildings, ensuring signs like toilets, lifts, childcare, and fitness are correctly placed and easy to see.

  4. Augmented Reality (AR) Tourist Guide Apps: By identifying signs and arrows, the model could be used to enhance AR-powered tourist guide applications, providing users with real-time information about nearby sights, facilities, and directions.

  5. Urban Planning and Development: The model could assist city planners and architects in analyzing the placement and sufficiency of signs in an urban environment, enabling improvements in public signage systems.

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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{
                            capstone-3cnl7_dataset,
                            title = { capstone Dataset },
                            type = { Open Source Dataset },
                            author = { 3Feb training },
                            howpublished = { \url{ https://universe.roboflow.com/3feb-training/capstone-3cnl7 } },
                            url = { https://universe.roboflow.com/3feb-training/capstone-3cnl7 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-12-24 },
                            }
                        
                    

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