> ## Documentation Index
> Fetch the complete documentation index at: https://docs.labellerr.com/llms.txt
> Use this file to discover all available pages before exploring further.

# System Requirements

> Verify your hardware and network setup to ensure optimal performance during heavy data annotation workflows.

To perform heavy data annotation smoothly on high-resolution video timeline tracking, and AI-assisted segmentation, your system should meet or exceed the following specifications.

<CardGroup cols={2}>
  <Card title="System Memory" icon="memory">
    **Minimum 16 GB RAM**

    Required to cache high-resolution image sequences and run multi-instance models smoothly in the browser.
  </Card>

  <Card title="Processor (CPU)" icon="microchip">
    **Intel i5 10th Gen** *(or Mac/Apple Silicon equivalent)*

    Ensures low-latency browser canvas rendering and fast calculations for polygon edits and AI predictions.
  </Card>

  <Card title="Web Browser" icon="chrome">
    **Google Chrome Supported Only**

    Our canvas engine is optimized specifically for Chrome. Other browsers may experience interface lag or feature errors.
  </Card>

  <Card title="Network Speed" icon="wifi">
    **Minimum 5 Mbps Bandwidth**

    Ensures seamless cloud dataset retrieval, pre-annotation injection, and fast export operations.
  </Card>
</CardGroup>

***

## Performance Recommendations for Heavy Annotation

<Note>
  When working with long video sequences (100MB - 500MB) or dense datasets with hundreds of overlapping bounding boxes, hardware specs become critical to prevent browser tab crashes.
</Note>

### Why Chrome is Required?

Labellerr leverages GPU-accelerated WebGL rendering. Google Chrome provides the most compliant and highly-optimized runtime for these features.

### Recommended Environment Setup:

* **Hardware Acceleration:** Ensure *Hardware Acceleration* is enabled in Chrome Settings (`chrome://settings/system`).
* **Network Stability:** A wired ethernet connection or strong 5 GHz Wi-Fi is recommended to ensure continuous streaming of frames without buffering.
* **Tab Management:** Close unnecessary browser tabs and resource-heavy background applications during intensive annotation runs.