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Introduction
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Python SDK quickstart
Model-assisted labeling
How to annotate
Label images
Label 3D point clouds
Label sequences of data
Label text
Customize hotkeys
How to manage
Add collaborators to a dataset
Create an organization
Configure the label editor
Customize label queue
Search within a dataset
Clone a dataset
Work with issues
Bulk change label status
How to integrate
Import data
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Integrate with Hugging Face
Create an API key
Upload model predictions
Upload sample embeddings
Set up webhooks
Background
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Sequences
Label queue mechanics
3D Tiles
Security
Reference
Python SDK
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API
Python SDK (old v0.x)
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Model-assisted labeling

One way to drastically speed up data labeling is by leveraging your machine learning models from the start. Instead of labeling the entire dataset manually, you can use a model to help you by iterating between image labeling and model training.
Segments.ai makes it easy to set up such model-assisted workflows.
We have two interactive tutorials in the form of a Google Colab notebook:
  • ​Speed up your image segmentation workflow with model-assisted labeling​
  • ​Fast point cloud labeling with model predictions​
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Python SDK quickstart
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Label images
Last modified 7mo ago
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