🍙 Creating a Rice Disease Classifier using Open Source Data and Computer Vision

📝 Contribution Guidelines

• Have a Look at the project structure below to understand where to store/upload your contribution
• If you're creating a task, Go to the task folder and create a new folder with the below naming convention and add a README.md with task details and goals to help other contributors understand
  • Task Folder Naming Convention : task-n-taskname.(n is the task number) ex: task-1-data-analysis, task-2-model-deployment etc.
  • Create a README.md with a table containing information table about all contributions for the task.
• If you're contributing for a task, please make sure to store in relavant location and update the README.md information table with your contribution details.
• Make sure your File names(jupyter notebooks, python files, data sheet file names etc) has proper naming to help others in easily identifing them.
• Please restrict yourself from creating unnessesary folders other than in 'tasks' folder (as above mentioned naming convention) to avoid confusion.

Project Structure and Overview

├── LICENSE
├── README.md          <- The top-level README for developers/collaborators using this project.
├── original           <- Original Source Code of the challenge hosted by omdena. Can be used as a reference code for the current project goal.
│ 
│
├── README.md          <- Details about final reports and analysis
│ 
│   
└── tasks              <- Master folder for all individual task folders
    ├── task-2-data-collection-and-processing <- folder for all tasks concerning dataset creation
    └── task-3-model-building-and-deployment  <- folder for all tasks concerning training and deploying the model

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Demo of the Output

https://huggingface.co/spaces/Shru/Rice_Disease_Classifier

app-demo-2.mp4