Improve Terrain Recognition by using ResNet

[ramana2074]

ResNet50 uses a powerful deep learning architecture pre-trained on the ImageNet dataset. This model is effective for various image classification tasks, including terrain recognition.
can you assign me this ?

[Akasxh]

Here I have assigned you the task. On the same hand for explainability please make a seperate readme for this specific model you are using.

After code review, I will assign appropriate level. Thank you.

[ramana2074]

can i get the dataset files ?

[Akasxh]

here's the drive link: https://drive.google.com/drive/folders/1hbL1m39TF8ABe0oCj5XYDbHXY-gPIjcQ?usp=drive_link

sample dataset link(around only 1k) : https://huggingface.co/datasets/Akasxxh/Terrain-Overview

[Akasxh]

If you plan on adding more to the dataset please do collaborate the dataset as it might help other contributers as well!

[Shibika-Roy]

I wanted to contribute last month I had done the same kind work on detection wave height by image processing

[Akasxh]

I am delighted to hear, Please create a new issue with the specific changes proposed so i could assign suitable labels to you

[SahilCharan]

i want to work on this project

[Akasxh]

@SahilCharan sure go ahead make sure to create a new issue and keep in touch with others working on similar isses

[AKSHITHA-CHILUKA]

@Akasxh despite of many times telling you have not changed the labels.
The crt labels are level3 with no spaces , gssoc-ext is the label not gssoc24-extd , hactoberfest-accepted is the label not hactoberfest .
I hope you will change all the label's in all the issues and pr's as soon as possible .