Model

Model

Ship better models faster with data-centric AI

Data dictates model performance. Improve your data to develop and ship better models quickly with collaborative and data-centric tools to curate, debug, diagnose, and optimize your machine learning data and models.
Ship better models faster with data-centric AI
Build robust models with powerful error analysis

Build robust models with powerful error analysis

Identifying and fixing model errors with improved training data is the key to building high-performing models. Conduct powerful error analysis to surface model errors, diagnose root causes, and fix them with targeted improvements to your training data. Collaboratively version, evaluate, and compare training data, hyperparameters, and models across iterations in a single place.

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Leverage your model to find and fix data quality issues

Leverage your model to find and fix data quality issues

Data quality issues can severely undermine your model’s performance. Use your model as a guide to find and fix labeling mistakes, unbalanced data classes, and poorly crafted data splits that can affect model performance.

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Use your model to kick-start your labeling process

Use your model to kick-start your labeling process

Decrease your labeling time and costs. Rather than labeling from scratch, use model predictions - from your model or from a third party model - to visualize, select, and send as pre-labels to your labeling project in Annotate.

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Optimize your labeling budget by selecting the right data to boost model performance

Optimize your labeling budget by selecting the right data to boost model performance

Not all data impacts model performance equally. Leverage your data distribution, model predictions, model confidence scores, and similarity search to curate high-impact unlabeled data that will boost your model performance. 

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DataStore
DataStore
DataStore
Customization

Plug into powerful data-centric workflows

Simplify your data-to-model pipeline without friction. Seamlessly integrate Labelbox with your existing machine learning tech stack using our Python SDK. Labelbox Model works with any model training and inference framework, major cloud providers (AWS, Azure, GCS), and any data lake (Databricks, Snowflake).

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Supported annotation & prediction visualization

Image
  1. Bounding box
  2. Segmentation
  3. Polygon
  4. Polyline
  5. Point
  6. Classification
Tiled imagery
  1. Bounding box
  2. Polygon
  3. Polyline
  4. Classification
Text
  1. Named-entity recognition
  2. Classification
Video, Documents, Geospatial, DICOM
  1. Coming soon

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