Overview of Encord Active

Encord Active logo

Encord Active is available in two versions: Encord Active Cloud and Encord Active OS. Active Cloud is tightly integrated with Encord Annotate, with Active Cloud and Annotate being hosted by Encord. Encord Active OS is an open source toolkit that can be installed on a local computer/server.

Encord Active Cloud and Encord Active OS (open source) are active learning solutions that help you find failure modes in your models, and improve your data quality and model performance.

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

When to use Encord Active?

Encord Active helps you understand and improve your data, labels, and models at all stages of your computer vision 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.

encord active diagram

Example use cases

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

Data Curation and Label Error Correction

Encord Active workflow

Optimize Model Performance

Encord Active workflow

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Note

Before going any further, you should know what a Collection is in Encord Active Cloud. 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.

Clickable Div Data Cleansing/Curation Label Correction/Validation Model/Prediction Evaluation

What data does Encord Active support?

FeaturesActive Open SourceActive Cloud
Data typesjpg, pngjpg, png, tiff, mp4
Labels1classification, bounding box, polygonclassification, bounding box, polygon, polyline, bitmask, key-point
Number of images25,000 per project (unlimited projects)500,000 per project (unlimited projects)
Videos-2 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