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ALASKA2 Challanges from Kaggle. Detect secret data hidden within digital images.

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ALASKA2 Image Steganalysis from Kaggle

Repository for the SlimBros team for the ALASKA2 Image Steganalysis challenge from Kaggle (May 2020 to July 2020). In this competition, In the competition, the goal is to create an efficient and reliable method to detect secret data hidden within innocuous-seeming digital images.

Table of contents

Team

Timeline

  • July 13, 2020 - Entry deadline. Must accept the competition rules before this date in order to compete.
  • July 13, 2020 - Team Merger deadline. This is the last day participants may join or merge teams.
  • July 20, 2020 - Final submission deadline.

All deadlines are at 11:59 PM UTC on the corresponding day unless otherwise noted. The competition organizers reserve the right to update the contest timeline if they deem it necessary.

File structure

.
|-- 1. README.md
|-- 2. pytorch
|   |-- config
|   `-- data_loader
|   `-- model
|   `-- trainer
|   `-- utils
|   `-- evaluator.py
|   `-- main.py
|   `-- training.py (deprecated)
|-- 3. tensorflow
|   |-- data_loader
|   `-- model
|   `-- training.py
|   `-- blending.py

Models

  • Regression
    • Rensenet
  • Classification (4/9 classes)
    • EfficientNet
    • Visual Attention

Usage

Launch pytorch/main.py file for the up-to-date changes and the best resulting score. The evaluator.py file will generate a submition for the test set. Modify accordingly the JSON file inside the config folder in order to use the scripts.

Useful links

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT

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ALASKA2 Challanges from Kaggle. Detect secret data hidden within digital images.

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