> For the complete documentation index, see [llms.txt](https://docs.datasaur.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.datasaur.ai/advanced/extensions/label-error-detection.md).

# Label Error Detection

## Overview

**Label error detection** helps identify potentially incorrect labels in your dataset to improve data quality and model performance.

The feature automatically detects possible labeling inconsistencies, helping users review data more efficiently and validate labels with additional model-based suggestions.

<figure><img src="/files/vj1rp2IXNWD7f3Ua2ogT" alt=""><figcaption><p>Label error detection</p></figcaption></figure>

## Quick guide

1. Create a [row labeling](/data-studio-projects/creating-a-project.md) project.

   <figure><img src="/files/eEUlDBqc8XKIl417isdk" alt=""><figcaption></figcaption></figure>
2. Click the gear icon in the extension panel on the right to open the **Manage extensions** dialog, then enable the **Label error detection** feature.

   <figure><img src="/files/O1JW09lhDuI63GFfhkpM" alt=""><figcaption></figcaption></figure>
3. Label your data manually or using **ML-assisted labeling** or **Predictive labeling.**

   <figure><img src="/files/eEUlDBqc8XKIl417isdk" alt=""><figcaption></figcaption></figure>
4. In the **Label error detection** extension, select the target column to use as context and the target question, then click **Find label errors.**

   <figure><img src="/files/RA6C0JKQ39OhLodYvw2J" alt=""><figcaption></figcaption></figure>
5. Click **View all** and review the detection. You can revise them individually or click **Reject all** or **Accept all**.

   <figure><img src="/files/V1V7LjLO8Z02QD3tGoff" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
For more information, see [Assisted Review - Label Error Detection](/assisted-review/label-error-detection.md).
{% endhint %}


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