ece_285_final_project_v2 | Image Segmentation of Aerial Images

 by   ryanmclark Jupyter Notebook Version: Current License: MIT

kandi X-RAY | ece_285_final_project_v2 Summary

kandi X-RAY | ece_285_final_project_v2 Summary

ece_285_final_project_v2 is a Jupyter Notebook library. ece_285_final_project_v2 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is project, Image Segmentation of Aerial Images, is an extension of the PhD Thesis written by Mnih Volodymyr of the University of Toronto in 2013. In this project we utilize VGG-16 and ResNet- 18&34 layer architectures to preform semantic segmentation on Satellite imagery of the Greater Area of Boston in order to isolate and identify buildings and roads against the background. Project Originator: Mnih Volodymyr. Link to PhD Thesis: Link to GitHub: Link to Dataset:
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              ece_285_final_project_v2 has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are no watchers for this library.
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              It had no major release in the last 6 months.
              ece_285_final_project_v2 has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ece_285_final_project_v2 is current.

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              ece_285_final_project_v2 has no bugs reported.

            kandi-Security Security

              ece_285_final_project_v2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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              ece_285_final_project_v2 is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              ece_285_final_project_v2 releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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