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abhisheks008 / DL-Simplified

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
https://quine.sh/repo/abhisheks008-DL-Simplified-499023976
MIT License
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Weed Crop Image Classification #249

Closed abhisheks008 closed 8 months ago

abhisheks008 commented 1 year ago

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Weed Crop Image Classification
:red_circle: Aim : Aim is to create a DL model which will identify the images from the dataset.
:red_circle: Dataset : https://www.kaggle.com/datasets/vinayakshanawad/weedcrop-image-dataset
:red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

📍 Follow the Guidelines to Contribute in the Project :

:red_circle::yellow_circle: Points to Note :

:white_check_mark: To be Mentioned while taking the issue :

Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

NirmalKAhirwar commented 1 year ago

please asigned this task to me. Weed Crop Image Classification #249

FullName: Nirmal Kumar Ahirwar Github Profile Link: https://github.com/NirmalKAhirwar Email ID: ahirwarnirmal2017@gmail.com

Approach for this Project: 1] Perform exploratory data analysis on the dataset. 2] Apply data augmentation techniques to the dataset using the Albumentations Python library. 3] Create different deep learning models for classification, such as YOLOv8, Detectron, and CNN models like VGG, EfficientNet. 4] Compare the performance of all models using accuracy metrics and perform hyperparameter tuning to achieve higher accuracy on the test dataset. 5] Implement the models using TensorFlow or PyTorch.

What is your participant role? -contributor at Social Summer of Code (SSOC), Season-2

abhisheks008 commented 1 year ago

Hi @NirmalKAhirwar nice to have you here. I like your approach for solving this issue. This issue will be assigned to you once the program starts officially.

Till then, star the repository and explore more in open source.

abhisheks008 commented 1 year ago

Issue assigned to @NirmalKAhirwar

yashpadhye17 commented 1 year ago

Full name : Yash Nimish Padhye GitHub Profile Link : https://github.com/yashpadhye17 Email ID : yash.padhye.aids.2020@vpkbiet.org Approach for this Project :

  1. Application of different CNN Models.
  2. Comparison of those models on Scaling Factors.

What is your participant role? (Mention the Open Source program): SSOC Season 2 (Contributor)

Query- If selected, can I team up with one more person if selected and she is also part of SSOC S2 ?

abhisheks008 commented 1 year ago

Issue assigned to you @yashpadhye17

Aryan863 commented 9 months ago

I want to contribute on this issue. Please assign me this issue. Thank you

Full name : Aryan Kashyap GitHub Profile Link : https://github.com/Aryan863 Email ID : aryanvkashyap03@gmail.com

Approach for this Project :

  1. data preprocessing and visualization- To understand more about the dataset

  2. data augmentation - apply augmentation techniques like flipping, rotation, brightness,etc to make the model more robust.

  3. Model creation - I will be using VGG19, Xception, EfficientNet_v2 and MobileNet_v3 to compare the models.

  4. Regularization- if model is overfit then try to regularize it.

  5. Hyperparameter tuning- Experiment with hyperparameters such as no. of epochs, optimizers, add some additional layers to achieve more accurate and precise model.

What is your participant role?: Social Winter of code(SWOC) (Contributor)

abhisheks008 commented 9 months ago

Issue assigned to you @Aryan863