SuperAnnotate Docs

Explore a dataset

Generate a dataset of a Vector project’s images to check the quality of the annotations in a grid view.

Generate a dataset

  1. Go to the Images tab.
  2. Select the Explore button.
  3. In the popup, choose Explore.

When the dataset generation completes successfully, select the arrow icon to go to the Explore page. The Explore page features all the project’s images.

A dataset can have three statuses: In progress, Complete, and Failed.

📘

Only Team owners and Team admins can generate and explore datasets.

❗️

  1. You cannot delete a dataset.
  2. You cannot generate more than one dataset. Selecting the Explore button after generating a dataset will overwrite the current dataset.
  3. You need at least 8 images in the project to be able to generate a dataset.

Explore instances

The Explore page gives you a grid view of all the image search results. You can see the instances of all the images.

Hover over an image to see its name and status. Select the copy and paste icon to copy the image name. Select an image to go to the editor.

Search for instances

To search for instances, insert a query in the input bar and press Enter to run the query. The results displayed are images that contain instances that match the query. For example, if you searched for instances of pedestrians annotated with a bounding box, the search results are images that contain pedestrians annotated with a bounding box.

Query format

Single parameter
main field.field.subfield=parameter 1

Example
[email protected]

Array of parameters
main field.field.subfield IN [parameter 1, parameter 2…]

Example
metadata.lastAction.email IN [[email protected], [email protected]]

Array of parameters and more than one field
main field.field.subfield IN [parameter 1, parameter 2…] OR main field.field.subfield IN [parameter 1, parameter 2…]

Example
metadata.lastAction.email IN [[email protected], [email protected]] OR comments.resolved=true

Operators

Operator

Meaning

=

Equal to

!=

Not equal to

Greater than

<

Less than

=

Greater than or equal to

<=

Less than or equal to

()

Shows the hierarchy of queries

AND

Returns True if both statements are true

OR

Returns True if either statements are true

IN

Set of values to consider

Fields

The field names and values should be written in the JSON format.

Instances

Field

Value

instances.type

bbox, polygon, point, ellipse, cuboid, polyline, or rbbox.

instances.class.name

String. If there is no class assigned to an instance, then the parameter should be none.

instances.probability

Double

instances.pointLabels

Double

attributes.name

String

attributes.groupName

String

error

If the instance is approved, then it is false. If it is disapproved, then it is true. If there is no approval, then it is null. If the instance is neither approved nor disapproved, then the error field will not appear in JSON.

createdAt

Date in this format: YYYY-MM-DD.

createdBy.email

Email address

createdBy.role

Current SuperAnnotate role

creationType

manual or pre-annotation

updatedAt

Date in this format: YYYY-MM-DD.

updatedBy.email

Email address

updatedBy.role

Current SuperAnnotate role

count

Number of instances in the image

Metadata

Field

Value

lastAction.email

Email address

width

Width in pixels

height

Height in pixels

name

String

isPredicted

Boolean: true or false.

annotatorEmail

Email address

qaEmail

Email address

status

Image status

pinned

Boolean: true or false.

Comments

Field

Value

resolved

Boolean: true or false.

count

Number of comments

Tags

Field

Value

Tags

Tag name

Folder

Field

Value

folder.name

Folder name in a string format

Permissions

As a Team owner, you can give a Team admin permission to generate a dataset.

  1. Go to My teams.
  2. Select Permissions.
  3. Check the Allow to explore annotations box.

Updated 27 days ago


Explore a dataset


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