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Sugarcane Leaf Disease Detection #456
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Hi , I'm excited to contribute to this project. Could you please assign me? Looking forward to getting started! @abhisheks008 Full name : Tushti Thakur |
Wanna give it a try, can you assign it to me? @abhisheks008 Full name: Basma Mahmoud Can you add the label for GSSoC, please? |
Hey! I am interested in this project. I have worked on similar project in the past, and I would like to apply some new techniques that I have learned in image classification problems. Full name: Atharv Pal
What is your participant role? GSSoC-2024 Contributor Thanks man! |
Hi @atharv1707 try to implement different algorithms (atleast 2-3) for this dataset. Compare them based on the accuracy scores and find out the best fitted model for this dataset/project. Are you up? |
@abhisheks008 sure mate! I would love to experiment on this! |
Assigned to you @atharv1707. You can start working on it. |
Hey @abhisheks008 ! I hope you are doing well. I wanted to update regarding the project i have chosen. I have trained one model using CNN architecture, which gave a accuracy of near 60-65%. I wanted to know what other techniques/algorithms should i implement as you mentioned above. Personally, i was thinking of experimenting with ensemble techniques to see how much of increament in accuracy we can achieve. If it's alright , I can proceed with the ensemble , or any suggestions are welcome Peace! |
You can go ahead with your approach. Let's see the accuracy score then I'll suggest something from my end. |
Hello @abhisheks008 Can you please assign me this issue , I can help with the trying other algorithms. |
Already assigned to other contributor. |
Hey @abhisheks008 ! I know it took alot longer that it should have, but I finally did what I aimed to do. I achieved an accuracy of 82.59% using ensemble learning in this project. Kindly let me know what should I do further. |
Need to achieve at least 90% |
Hey!! @abhisheks008 , I applied ensemble learning and achieved an ensemble accuracy of 90.55%. Let me know what's our next step |
Push that code for review. |
Hello @atharv1707! Your issue #456 has been closed. Thank you for your contribution! |
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title : Sugarcane Leaf Disease Detection
🔴 Aim : The aim of this project is to detect the disease from the sugarcane leaves using computer vision and deep learning methods.
🔴 Dataset : https://www.kaggle.com/datasets/nirmalsankalana/sugarcane-leaf-disease-dataset
🔴 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 :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.🔴🟡 Points to Note :
✅ To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
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