[Code Addition Request]: Terrain classification model using transfer learning #385
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Don't add PySnippets Project here it is different project. And also don't tag me in the issue for future and if you do I will not close the issue. Please make sure to follow this. |
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## Pull Request for PyVerse 💡 ### Requesting to submit a pull request to the PyVerse repository. --- #### Issue Title **Please enter the title of the issue related to your pull request.** Terrain classification model using transfer learning. - [x] I have provided the issue title. --- #### Info about the Related Issue **What's the goal of the project?** To improve terrain classification by using transfer learning , by using pre trained models and converging them for terrain classification to obtain better accuracy - [x] I have described the aim of the project. --- #### Name **Please mention your name.** Darsh Agrawal - [x] I have provided my name. --- #### GitHub ID **Please mention your GitHub ID.** DarshAgrawal14 - [x] I have provided my GitHub ID. --- #### Email ID **Please mention your email ID for further communication.** agrawaldarsh.14@gmail.com - [x] I have provided my email ID. --- #### Identify Yourself **Mention in which program you are contributing (e.g., WoB, GSSOC, SSOC, SWOC).** GSSOC - [x] I have mentioned my participant role. --- #### Closes **Enter the issue number that will be closed through this PR.** *Closes: #385 * - [x] I have provided the issue number. --- #### Describe the Add-ons or Changes You've Made **Give a clear description of what you have added or modified.** used a pre trained Efficientnet model for terrain classification . directory has - Model Training notebook - Loading and testing model notebook - Inference and model stats calculator - Readme.md - Improvement.md - [x] I have described my changes. --- #### Type of Change **Select the type of change:** - [ ] Bug fix (non-breaking change which fixes an issue) - [x] New feature (non-breaking change which adds functionality) - [ ] Code style update (formatting, local variables) - [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected) - [ ] This change requires a documentation update --- #### How Has This Been Tested? **Describe how your changes have been tested.** Tested model on testing dataset , as well as created a testing notebook where user can given image path and test model's predictions - [x] I have described my testing process. --- #### Checklist **Please confirm the following:** - [x] My code follows the guidelines of this project. - [x] I have performed a self-review of my own code. - [x] I have commented my code, particularly wherever it was hard to understand. - [ ] I have made corresponding changes to the documentation. - [x] My changes generate no new warnings. - [x] I have added things that prove my fix is effective or that my feature works. - [ ] Any dependent changes have been merged and published in downstream modules.
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Latest Merged PR Link
UTSAVS26/PySnippets#42
Project Description
hey @UTSAVS26 !
I am Darsh Agrawal , a fellow contributor and I would like to contribute by using Transfer learning and create a model to help various agencies label captured terrain images like mountains, coast , desserts etc . By using transfer learning we can use pre trained models like RESNET or Efficientnet and hyperparameter tune them for terrain classification for better accuracy when compared to traditional CNN models.
Full Name
Darsh Agrawal
Participant Role
GSSOC
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