Active is tightly integrated with Encord Annotate, with Active and Annotate being hosted by Encord.

Encord Active is active learning solutions that help you find failure modes in your models, and improve your data quality and model performance.

Use Active to visualize your data, evaluate your models, surface model failure modes, find labeling mistakes, prioritize high-value data for relabeling and more!

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When to use Encord Active?

Encord Active helps you understand and improve your data, labels, and models at all stages of your machine learning journey.

Whether you’ve just started collecting data, labeled your first batch of samples, or have multiple models in production, Encord Active can help you.

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Example use cases

To give you a better idea about how Active and Annotate work together, here are some use cases.

Data Curation and Label Error Correction

Optimize Model Performance

Before going any further, you should know what a Collection is in Encord Active. Collections provide a way to save interesting groups of data units and labels, to support and guide your downstream workflow. For more information on Collections go here.

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What data does Encord Active support?

Active supports analysis (Advanced Metrics and Embeddings) on images and videos up to 4K resolution. Performance is affected for images and videos over 4K.

For optimal performance, we strongly recommend downscaling images and videos over 4K to 4K resolution.

FeaturesActive
Data typesjpg, png, tiff, mp4
Labels**1**classification, bounding box, polygon, polyline, bitmask, key-point
Number of data units500,000 per project (unlimited projects)
Videos2 hours @ 30fps
Data exploration✅
Label exploration✅
Similarity search✅
Off-the-shelf quality metrics✅
Custom quality metrics✅
Data and label tagging✅
Image duplication detection✅
Label error detection✅
Outlier detection✅
Collections✅
Model evaluation✅
Label synchronization✅
Natural language search✅
Search by image✅
Integration with Encord Annotate✅
Nested Attributes✅
Custom metadata✅

1: Objects and classifications are both supported:

Filtering:

  • Objects + all attributes
  • Classification + all attributes

Model evaluation:

  • Objects and Classifications cannot be mixed
  • Classification support includes top level radio button
  • Object support includes top level object
Encord Active supports up to 750K data units per Project, but we recommend 500K data units per Project.

Active supports analysis (Advanced Metrics and Embeddings) on images and videos up to 4K resolution. Performance is affected for images and videos over 4K.

For optimal performance, we strongly recommend downscaling images and videos over 4K to 4K resolution.

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Annotate FAQGetting started with Encord Active