> For the complete documentation index, see [llms.txt](https://babylonai.gitbook.io/babylog/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://babylonai.gitbook.io/babylog/welcome-to-babylog.md).

# Welcome to babylog

<figure><img src="/files/lGvjsAXToGipoL1TngNs" alt="babyseal waving welcome"><figcaption><p>Welcome to babylog</p></figcaption></figure>

Welcome to babylog, a library, designed to stream image and video data from edge devices to the cloud with ease. Babylog is maintained by [BabylonAI, a Zurich-based YC-backed startup](https://www.babylonai.dev).

You can find a link to our github repo here: <https://github.com/thebabylonai/babylog>

The primary goal of this library is to empower machine learning teams to log images and predictions, ensuring their computer vision models are working as intended. Without proper monitoring, small issues with a computer vision model can have dire consequences, such as a self-driving car incorrectly identifying a stop sign and causing an accident. Babylog aims to prevent such scenarios by providing the tools necessary for monitoring and debugging computer vision models.

Check out [Installation & requirements](/babylog/python/installation-and-requirements.md) to get started.