How to Pre-Label Data at Speed with Bulk Classifications

David Babuschkin
December 21, 2023
10 min read
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As businesses grapple with enormous volumes of unstructured data, the need for innovative solutions to streamline data classification and analysis has become increasingly important. This is where Encord Active comes in, particularly with its Bulk Classification feature, designed for Data Operations & ML teams who are looking to improve enrichment and labeling efficiency.

Encord Active for Bulk Classification

Encord Active helps teams visualize and curate their data, detect label errors, and evaluate model performance. In this article, we’ll touch on a specific feature of Active: Bulk Classification. 

Imagine you’re handling a large dataset for a weather analysis project. With Encord Active, you can swiftly filter out specific weather patterns and apply relevant classifications to these frames in bulk. This process not only saves time but also ensures consistency across your dataset, paving the way for more accurate and efficient analysis.

What is Bulk Classification and How is it Helpful?

Bulk Classification is designed to accelerate the process of data labeling and organization by applying uniform classifications to large collections of images or frames swiftly and consistently. This transforms the laborious task of individual data labeling into a more manageable, efficient process, making it an invaluable tool for teams aiming to speed up their labeling workflows while ensuring precision.

Applying Bulk Classifications: 4 Simple Steps

Using the Bulk Classification feature by following these 4 simple steps:

1. Importing and Exploring Your Project: Start by importing your project into Encord Active and attach an ontology that contains the classifications you want to apply. Once imported, the Explorer page of the project opens up.

Importing and Exploring Your Project

2. Filtering and Selecting Data: Dive into the ocean of data using EA’s intuitive filter, sort, and search functionalities. This process helps you pinpoint the exact subset of data needed for your task

Filtering and Selecting Data - Encord

3. Creating a Collection: After selecting your data, add it to a collection.

Creating a collection - Encord

4. Applying Bulk Classifications: Navigate to the Bulk Classify option, where you can choose the relevant classifications and settings for your collection. When you’re ready, Initiate the Bulk Classify job.

Bulk Classification - Encord

The classifications fully support nested ontologies meaning that you can provide extra levels of granularity to the classifications. You can find more detailed information in the Encord Active documentation on Bulk Classifications.

Conclusion

With Bulk Classification in Encord Active, teams can now enrich and pre-label their data in just a few simple steps. If you’re handling large datasets or complex classifications, this feature will serve to streamline your data pipeline.

Try out Encord Active's Bulk Classification feature to experience a transformative change in your data management and labeling strategy. For a deeper dive into Encord Active and its many fascinating features, be sure to check out our other blog posts, and the Encord Active documentation!

Sign-up for a free trial of Encord: The Data Engine for AI Model Development, used by the world’s pioneering computer vision teams. Follow us on Twitter and LinkedIn for more content on computer vision, training data, and active learning.

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Written by David Babuschkin
David is a Technical Writer at Encord who focuses on creating user-friendly documentation for Encord's products. He's a dedicated communicator with a deep interest in science, nature, and the societal influence of AI. His physics background equips him with both a scientific perspective and... see more
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