![Kerneler](https://storage.googleapis.com/kaggle-media/competitions/general/Kerneler-white-desc2_transparent.png)
### This is a Code Competition

Submissions to this competition must be made through Notebooks. In order for the "Submit to Competition" button to be active after a commit, the following conditions must be met:

- CPU Notebook <= 9 hours run-time
- GPU Notebook <= 9 hours run-time on Kaggle's [P100 GPUs](https://www.kaggle.com/product-feedback/83643)
- No internet access enabled
- External data is allowed up to 1 GB in size. External data must be freely & publicly available, including pre-trained models. 
- No using other Kaggle notebooks or utility scripts as inputs to your submission notebook. External data also cannot be externally-referenced (i.e. via BigQuery, Github, external URL). Instead, load external models or datasets directly as an external data source.
- No custom packages enabled in your submission notebook
- Submission file must be named "submission.csv"

Please see the [Code Competition FAQ](https://www.kaggle.com/docs/competitions#kernels-only-FAQ) and [Getting Started](https://www.kaggle.com/c/deepfake-detection-challenge/overview/getting-started) for specifics on this competition's unique design.