---
title: Filtering your dataset
slug: filtering-your-dataset
icon: 🙋‍♀️
docTags: 
createdAt: 2023-01-20T13:18:12.000Z
---

There are two different ways to set filters in Dataset Exploration:

1. Set a default filter
2. Set a custom filter
3. Set a filter using via a chart on the metrics-tab

# Default filters

The default filters are available in the "Filter Dataset"-section. These include:

- Filter on items included in a specific chunk
- Filter on items that have been annotated only, predicted only, or both annotated and predicted
- Filter on items that have not been added to any chunk

## Filter on items in a specific chunk

By selecting an existing chunk from the dropdown labeled “Chunks”, you can create a filter that only shows the items that are part of that chunk.

## Filter on “items found in”

In situations where you want to look at either: 

- False negatives or positives in the annotations,
- False negatives or positives predicted by your model, or
- Classification errors

you can use the “Show items found in” dropdown and select one of the following options:

- Annotations only: Show items that have been annotated but not predicted. Useful e.g. when wanting to identify model false negatives. 
- Predictions only: Show items that have been predicted but not annotated. Useful e.g. when wanting to identify annotation misses.
- Annotations OR Predictions: Show items that have been annotated or predicted. Useful when wanting to browse all items.
- Annotations AND Predictions: Show items that have been annotated and predicted. Useful when wanting to identify classification errors.

## Filter on items not included in a chunk

By ticking the checkbox "Hide items included in a chunk" you exclude all items that are added to any chunk.

# items filters

Items filters are used to narrow your search by filtering on item attributes such as class, or a geometric attribute (e.g. size, distance from ego vehicle). Items filters can be created for either annotated or predicted items.

To create an item filter:

1. Click the “Create filter” button in the “Filter Dataset”-section.
2. Select items, either “Annotations” or “Predictions” in the first dropdown.
3. Select a filter type, an operator (is or is not) and one or multiple values.
4. Click the "Apply Filter"-button.
5. Your filter is applied and added as a chip in the “Filter dataset” section.