Dfdc Dataset Download ((top)) Page

The dataset is hosted as part of the Deepfake Detection Challenge competition . After accepting the competition rules, you can download the data using the Kaggle API or a direct GCS bucket link. Dataset Versions and Size

You can download the DFDC dataset primarily through two official platforms, depending on your research needs: dfdc dataset download

The DFDC was released in stages to help researchers refine their models before the final challenge: Number of Videos Techniques Used Download Access 5,214 clips 2 face-swap algorithms deepfakedetectionchallenge.ai Full Dataset 128,154 clips 8 face-swap algorithms Kaggle / Meta AI The dataset is hosted as part of the

Researchers can request access directly from the Deepfake Detection Challenge Dataset page. To download from here, you must have an AWS account and provide your 12-digit AWS account ID. To download from here, you must have an

How to Author Tutorials on iximiuz Labs

Instead of providing a subpar online editing experience, iximiuz Labs offers a helper CLI tool called labctl, allowing you to use your favorite text editor (or a full-featured IDE) to write content from the comfort of your local machine.

Install labctl CLI

curl -sf https://labs.iximiuz.com/cli/install.sh | sh

This will download and install the latest version of the labctl CLI. You only need to do this once per workstation.

Authorize labctl

labctl auth login

This will open a browser window asking you to authorize labctl to access your account. You need to do it after a fresh install of labctl and repeat it whenever the auth session expires.

Pull tutorial content

labctl content pull tutorial extracting-container-image-filesystem

This will create a local copy of the tutorial content in a directory named extracting-container-image-filesystem. You only need to do this once per tutorial.

Stream your changes

labctl content push -fw tutorial extracting-container-image-filesystem

Run this command in a separate terminal to continuously upload your changes to the server while editing the tutorial in your favorite text editor or IDE.

You can also use labctl to create, list, and delete your content. Learn more about the available commands: labctl content --help

Start tutorial