Automated Detection and Marking of Building Facades Across Multiple Street Views
Budget: $30 – $250 SGD
We are seeking an experienced computer vision and machine learning expert to develop a system that can automatically detect and circle out a specific area on a building facade across multiple street views. The ideal candidate will have a strong background in image processing, feature detection, and machine learning, with proven experience in similar projects.
Key Requirements:
- Develop algorithms to detect and mark specific areas on building facades across multiple street views.
- The system should allow users to specify the target area on the building facade, which could include windows, doors, or signboards.
- Implement feature detection techniques to identify key points and regions of interest.
- Use machine learning models to improve the accuracy and robustness of detection.
- Test and validate the system on diverse datasets to ensure reliability and performance.
Good-to-have:
Integrate the solution into a user-friendly application or tool.
Kindly please submit your proposal of this project if you are interested.
Key Requirements:
- Develop algorithms to detect and mark specific areas on building facades across multiple street views.
- The system should allow users to specify the target area on the building facade, which could include windows, doors, or signboards.
- Implement feature detection techniques to identify key points and regions of interest.
- Use machine learning models to improve the accuracy and robustness of detection.
- Test and validate the system on diverse datasets to ensure reliability and performance.
Good-to-have:
Integrate the solution into a user-friendly application or tool.
Kindly please submit your proposal of this project if you are interested.