Manu SharmaJuly 8, 2019

Labelbox July Updates

Hello Labelbox community. July brings powerful tools to supercharge your training data development process. Read on to learn more.

What New Features Came to Labelbox in July?

Webhooks: Control ML Development End-to-End

Stream data in and out, connect your models and close the loop to allow machine learning developers, data scientists and data engineers to work in perfect lockstep. Instead of polling the API for static data, webhooks allow subscriptions to data when certain actions are performed that notify services you have set up, and that fit within the larger workflow of your model development.

Learn more here.

Labeling Prioritization API for active learning

Always label the most important data with API driven labeling queue prioritization. You can now programmatically manipulate the order of labeling (at scale) to orchestrate active learning or fulfill complex batch and real-time workflows. For example, you can use your machine learning model(s) to prioritize what gets labeled first based on the model's prediction confidence on the yet unlabeled images. Or maybe you need to meet tight SLAs for your customers? Now you can ensure you do by prioritizing work on the critical path.

Learn more here.

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Need Data Labeling Services? Try Labelbox Workforce.

Work hand-in-hand with the world’s best dedicated labeling teams right inside your Labelbox project. You can try and buy integrated labeling services at the best rates and keep everything in Labelbox for a seamless process. Already have your own preferred labeling service? You can onboard them to Labelbox too!

Why chose Labelbox Workforce?

  1. Directly integrated inside Labelbox
  2. Dedicated labeling teams that are trained to perform your tasks
  3. Auto scalable - no pricing minimums
  4. Best rates in the market

Learn more here.

Work hand-in-hand with the world's best labelers right inside your Labelbox project.