Documentation
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Introduction
Tutorials
Getting started
Python SDK quickstart
Model-assisted labeling
How-to guides
Import data
Export data
Upload model predictions
Configure the label editor
Use the labeling interfaces
Customize hotkeys
Add collaborators to a dataset
Search within a dataset
Clone a dataset
Customize label queue priority
Work with issues
Bulk change label status
Create an API key
Set up webhooks
Upload sample embeddings
Background
Main concepts
Label queue mechanics
Security
Reference
Sample and label types
Categories and task attributes
Python SDK
API
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Introduction
Segments.ai is the training data platform for computer vision engineers and labeling teams. Our powerful labeling interfaces, easy-to-use management features, and extensive API integrations help you iterate quickly between data labeling, model training and failure case discovery.
The documentation is divided into 4 sections:
  • ​Tutorials: end-to-end tutorials where you are guided through a complete project.
  • ​How-to guides: recipes to solve a specific problem.
  • ​Background: provides clarifying background knowledge on certain topics.
  • ​Reference: description of the full Python SDK functionality and input and output formats.
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Getting started
Last modified 5mo ago
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