Contribution and suggestions are welcome. Please ensure your pull request adheres to the following guidelines:
- Please search previous suggestions before making a new request in order to avoid duplicates.
- Please make an individual pull request for each suggestion.
- Order studies chronologically within each section.
- When adding a new study, make sure to add a row for it in all appropriate tables (type of research, private datasets, deep learning models and architectures and performance metrics).
- New categories, or improvements to the existing categorisation are welcome.
Thank you for your suggestions!
The Data Augmentation Strategies has many columns and the second row must be updated with the number of studies using each type of data augmentation, thus the following procedure is recommended:
- Copy the table code from the README.md file into a plain text file (e.g. data-augmentation-table.csv).
- Open this plain text file with a spreadsheet software like LibreOffice Calc.
- Edit the table in the spreadsheet software, remenbering to to increase the number of studies using each type of data augmentation.
- Save the edited table into CSV using '|' as separator character.
- Copy the code from the edited table into the README.md file.