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
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Seed Quality Prediction (also developed an API )
:red_circle: Aim : To get to know the quality of the maize seeds to increase quality agro production for farmers eliminating the costs for testing
:red_circle: Dataset : Dataset is generated by us and will be uploaded here in the repo or external link will be given
:red_circle: Approach : The model used for prediction is a Convolutional Neural Network (CNN) trained on grayscale images of maize seeds, with the following architecture::
Conv2D layers for feature extraction.
MaxPooling2D layers for down-sampling.
Dense layers for classification with a softmax activation function to output class probabilities.
The model was trained using TensorFlow and Keras
π Follow the Guidelines to Contribute in the Project :
You need to create a separate folder named as the Project Title.
Inside that folder, there will be four main components.
Images - To store the required images.
Dataset - To store the dataset or, information/source about the dataset.
Model - To store the machine learning model you've created using the dataset.
requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.
:red_circle::yellow_circle: Points to Note :
The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
"Issue Title" and "PR Title should be the same. Include issue number along with it.
Follow Contributing Guidelines & Code of Conduct before start Contributing.
:white_check_mark: To be Mentioned while taking the issue :
Approach for this Project : This project provides a Flask-based API to predict the quality of maize seeds using a Convolutional Neural Network (CNN) model with model and database. The API can classify seeds into three categories: broken, discolored, and pure, helping to automate the quality assessment process.
What is your participant role? gssoc-ext, hacktoberfest-accepted
Happy Contributing π
All the best. Enjoy your open source journey ahead. π
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Seed Quality Prediction (also developed an API ) :red_circle: Aim : To get to know the quality of the maize seeds to increase quality agro production for farmers eliminating the costs for testing :red_circle: Dataset : Dataset is generated by us and will be uploaded here in the repo or external link will be given :red_circle: Approach : The model used for prediction is a Convolutional Neural Network (CNN) trained on grayscale images of maize seeds, with the following architecture::
π 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.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
gssoc-ext
,hacktoberfest-accepted
Happy Contributing π
All the best. Enjoy your open source journey ahead. π