ece_285_final_project_v2 | Image Segmentation of Aerial Images
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:
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.
It had no major release in the last 6 months.
ece_285_final_project_v2 has no issues reported. There are no pull requests.
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ece_285_final_project_v2 has no bugs reported.
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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.
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