Skip to main content
Avala’s query language lets you filter dataset items, annotations, and export results using structured expressions. Use it in the search bar, export filters, and the filter_query_string parameter in the Exports API.

Operators

OperatorDescriptionExample
=Equal toannotation.label = "car"
!=Not equal toannotation.label != "unknown"
>Greater thanannotation.attribute.confidence > 0.9
<Less thanannotation.attribute.confidence < 0.5
>=Greater than or equal toannotation.attribute.area >= 100
<=Less than or equal toannotation.attribute.area <= 500

Logical Operators

Combine multiple conditions with AND, OR, and NOT. Use parentheses to control grouping.
OperatorDescriptionExample
ANDBoth conditions must be trueannotation.label = "car" AND annotation.attribute.occluded = "false"
OREither condition must be trueannotation.label = "car" OR annotation.label = "truck"
NOTNegates a conditionNOT annotation.label = "unknown"
( )Groups conditions(annotation.label = "car" OR annotation.label = "truck") AND annotation.attribute.truncated = "false"

Annotation Queries

Filter by annotation properties.

By Label

annotation.label = "car"
annotation.label != "pedestrian"

By Attribute

Query annotation attributes using dot notation:
annotation.attribute.occluded = "true"
annotation.attribute.truncated = "false"
annotation.attribute.confidence > 0.8

By Annotation Type

annotation.type = "bounding_box"
annotation.type = "polygon"
annotation.type = "cuboid"

Metadata Queries

Filter items by custom metadata fields attached to dataset items. Use the metadata. prefix followed by the field name:
metadata.weather = "rainy"
metadata.scene_type = "highway"
metadata.time_of_day = "night"
Metadata field names are case-sensitive and must match the exact field name used when the metadata was uploaded.

Slice Queries

Filter items that belong to a specific data slice:
slice = "training"
slice = "validation"
slice = "edge-cases"

Reference ID Queries

Filter items by their reference ID:
ref_id = "frame_00123"
ref_id = "scene_042_cam_front"

String Quoting

Use double quotes around values that contain spaces or special characters:
annotation.label = "traffic light"
metadata.location = "San Francisco"
slice = "hard examples"
Single-word values do not require quotes, but quoting them is always valid:
annotation.label = car
annotation.label = "car"

Examples

Find all items with car annotations:
annotation.label = "car"
Find items with high-confidence annotations:
annotation.attribute.confidence >= 0.95
Find rainy highway scenes in the training slice:
metadata.weather = "rainy" AND metadata.scene_type = "highway" AND slice = "training"
Find items with car or truck annotations that are not occluded:
(annotation.label = "car" OR annotation.label = "truck") AND annotation.attribute.occluded = "false"
Find items without any pedestrian annotations:
NOT annotation.label = "pedestrian"
Filter by reference ID and annotation type:
ref_id = "frame_00500" AND annotation.type = "cuboid"