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Introduction
Tutorials
Getting started
Python SDK quickstart
Model-assisted labeling
How to integrate
Import data
Export data
Structure of the release file
Exporting the release file to different formats
Integrate with Hugging Face
Create an API key
Upload model predictions
Upload sample embeddings
Set up webhooks
How to manage and annotate
Add collaborators to a dataset
Create an organization
Configure the label editor
Customize hotkeys
Customize label queue priority
Search within a dataset
Clone a dataset
Work with issues
Bulk change label status
Use the labeling interfaces
Background
Main concepts
Sequences
Label queue mechanics
Security
Reference
Python SDK
Task types
Sample formats
Label formats
Categories and task attributes
API
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Export data
To download your labeled data, create a release on the Releases tab of your dataset. A release is a snapshot of your dataset at a specific point in time.
By clicking the download link of a release, you obtain a release file in JSON format. This release file contains all information about the dataset, tasks, samples, and labels in the release.
This section contains information about
Please refer to this blog post for an example of training a segmentation model on exported data with some useful code snippets.
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Structure of the release file
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