Filtering your dataset

there are two different ways to set filters in dataset exploration set a default filter set a custom filter 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 click the “create filter” button in the “filter dataset” section select items, either “annotations” or “predictions” in the first dropdown select a filter type, an operator (is or is not) and one or multiple values click the "apply filter" button your filter is applied and added as a chip in the “filter dataset” section