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Terrain Classification #810
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Our team will soon review your PR. Thanks @MohanRocks999 :) |
What's the issue number? |
The issue number is 636 |
Hi @MohanRocks999 remove the extra files and follow the project structure for this project. |
What files needs to be removed and do you want me to add all the models in one single notebook? |
It'll be better to have a single notebook file ( |
The changes has been as per your request. check it out. |
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Hi @MohanRocks999 everything looks good to me. Some minor changes are required,
- Follow the README template and update the README as per the given points. Here is the template: https://github.com/abhisheks008/DL-Simplified/blob/main/.github/readme_template.md
- Insert the resulted images inside the Images folder including the confusion matrix, data visualization and so on.
- Remove the
.gitignore
file.
The requested changes has been done. Please check the changes as soon as you can. |
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Looks good to me. Approved ✅
@MohanRocks999
Pull Request for DL-Simplified 💡
Issue Title : Terrain Recognition
JWOC Participant
) I am Contributing in GSSoC 2024Closes: #636
Add-ons or changes made 📃
Trained a Image Classification using various deep learning algorithms. This include DeepViT (Not just Vision Transformer), EfficientNet B3, DeiT3 (Data efficient image transformer) and YoloV8 that classifies images on 5 different types of terrains - coast, mountain, glacier, forest and desert.
Type of change ☑️
How Has This Been Tested? ⚙️
The Model have been evaluated extensively with a validation dataset comprising of 2000 images (400 images per class) and a test dataset of 500 images.
Checklist: ☑️