# Desertification Detection with Deep Learning and Satellite Data
## Contribution Guidelines
- Have a Look at the project structure and folder overview 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
├── 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.
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├── reports <- Folder containing the final reports/results of this project
│ └── README.md <- Details about final reports and analysis
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├── src <- Source code folder for this project
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├── data <- Datasets used and collected for this project
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├── docs <- Folder for Task documentations, Meeting Presentations and task Workflow Documents and Diagrams.
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├── references <- Data dictionaries, manuals, and all other explanatory references used
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├── tasks <- Master folder for all individual task folders
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├── visualizations <- Code and Visualization da …