Active Learning for Machine Learning & Computer Vision

Learn how Encord Annotate can help you level up your label operations and build better models. In the tutorials you will learn how to automate your labeling, work with different modalities, and much more.

Advanced

4 Minutes

How to use SAM to Automate Data Labeling

A short tutorial of how to use SAM to automate your labeling in Encord Annotate.

Watch Now

Advanced

11 Minutes

How to use the Annotator Training Module

Learn how to use the Annotator Training Module in Encord Annotate to improve the performance and test the quality of your annotators.

Watch Now

Webinars & Events

Rewatch Encord's webinars, conference speeches, and product demos on-demand.

Webinars & Events

47 Minutes

Are VFMs on par with SOTA?

With Foundational Models increasing in prominence, Encord's President and Co-Founder sat down with our Lead ML Engineer to dissect Meta's new Visual Foundation Model: Segment Anything (SAM). After combining the model with Grounding-DINO to allow for zero-shot segmentation, they compared it to a SOTA Mask-RCNN model to see whether the development of SAM really is revolutionary for segmentation.

Watch Now

Webinars & Events

47 Minutes

Using ChatGPT to Improve a Computer Vision Model

With the proliferation of use cases for ChatGPT, we set out to investigate whether ChatGPT could be used to make improvements in other AI systems. We tested it on a practical problem in a modality of AI in which it has not been trained on - computer vision - and reported the results. ChatGPT's suggestions achieved on average a 10.1% improvement in precision and a 34.4% improvement in recall over our random sample, using a purely data-centric metric-driven approach. Eric Landau, Encord's Co-founder and CEO, sits down with the Data-Centric AI Community to share more about the process & lessons learned!

Watch Now

Webinars & Events

58 Minutes

Fireside with Luc Vincent, VP of AI at Meta

Encord's CEO & Co-founder, Eric Landau, sat down with Luc Vincent, VP of AI at Meta & also Executive Advisor at Encord - as he took us through some of the lessons learned from his career, from building Lyft's first autonomous vehicle organization, to Google's geo imagery division, and now the metaverse at Meta. Luc also touched on: the challenges and lessons learned from setting up & scaling world-class computer vision orgs that are pushing the boundaries of AI, the working environment and culture in the early days of Google, the ML applications and promising projects he's most excited about going into the next decade. And what it'll take for the winners to get ahead!

Watch Now

Webinars & Events

20 Minutes

The Future of ML Teams: Embracing Active Learning

Eric Landau, Co-Founder & CEO of Encord, talks about "Active Learning & the ML Team of the Future" to close the AI prototype to production gap at AI at Scale 2023 organised by the AI Infrastructure Alliance.

Watch Now

The Only Platform That Wants You To Label Less

Learn how Encord's platform can help you streamline your computer vision data operations through simple video tutorials and beginner courses.Request Trial