Brian Rieger

Co-founder & COO @labelbox

[Brian Rieger @Riegerb]

@HenryEisenstein @elonmusk Just saw this live. Look like it exploded (after the video ends).

[Manu Sharma @manuaero]

For the residual data that isn't automatically labeled, activate Boost—a premium data labeling service—to label the residual data. (6/6)

[Brian Rieger @Riegerb]

How you build AI changes forever, today. @labelbox #accelerate

https://t.co/CM6sLh2mdY

[Brian Rieger @Riegerb]

@ImJasonDunn Congrats, Jason. That's humbling and inspiring.

[Brian Rieger @Riegerb]

@sharpshoot Indeed, one of the hardest parts of chess to learn from my experience is seeing your opponents best next move, and the one after. In chess, business, and life this is an enduring skill that makes a world of difference. It also has a way of broadening my recognition of empathy. 👍

[Brian Rieger @Riegerb]

@sharpshoot @judegomila And I've found that it's never the exact perfect time for those non-linear moves, it's always at least a little uncomfortable.

[Dan Buczaczer @dancecarbuzz]

Can’t wait for this. You should sign up!

[Brian Rieger @Riegerb]

@batrakanav @scale_AI @labelbox No. In fact, Labelbox doesn't retrieve the image, the client browser doing the labeling/reviewing/etc... fetches the image directly from the link. This link can be a signed URL, and it can also be an internal-only link on an intranet or credentialed VPN, etc...

[Labelbox @labelbox]

Excited to be profiled in @Forbes today on our founders' journey of building Labelbox! We're proud our customers utilize the platform to take control of their AI training data, maintaining visibility and ownership while building their IP

https://t.co/KbMeoyvTf3

[martin_casado @martin_casado]

We studied a number of ML/AI companies.

Tl;dr while it’s early days they tend to have different margin, scaling and defensibility properties from traditional software.

We draw from this to offer some thoughts on how to think about operating them.

https://t.co/IVefua9PXQ

[Labelbox @labelbox]

January updates are here! We're excited to announce the new video labeling editor (sign-up for the private beta), vector labeling in the image editor, general release of the Python SDK, release notes, and more.

https://t.co/pjqyxetedr

#AI #machinelearning #computervision

[Brian Rieger @Riegerb]

Manu and I on the Eye on AI podcast to talk @labelbox origins, data labeling, the future of #AI, and more...
https://t.co/2GfTJk6ip9

[Labelbox @labelbox]

Learn how to automate quality assurance procedures in your data training process. This is a comprehensive guide to implementing consensus, benchmarks and review. https://t.co/mxPDpOL5T7

[SomaDetect | Make Better Milk @SomaDetect]

A big shout-out to @labelbox for the value and the support they have provided us while using their platform. Their efforts have been helping the SomaDetect team with the AI projects and data labeling. Check it out here! https://t.co/Q4C7r17pva

[Labelbox @labelbox]

Cute cows and machine learning: bringing AI to agriculture with @SomaDetect. https://t.co/2bfSL84SP5

[Labelbox @labelbox]

Excited to enable @GeniusSports for its in-house AI efforts! “Genius: Artificial Intelligence Transformation of Pro Sports” by Alyssa Nader https://t.co/AD9Us75cgg

[Labelbox @labelbox]

Learn how Labelbox enables @CondeNast to rapidly build accurate AI models! “Condé Nast: AI & ML for World-Class Media” https://t.co/jFJYtbN4rS

[Brian Rieger @Riegerb]

“Condé Nast: AI & ML for World-Class Media” by Alyssa Nader https://t.co/zBzZuEnSnh

[NT Concepts @NT_Concepts]

We love @getlabelbox for ease of use and amazing functionality for rapid model training and accurate #machinelearning results!!!

https://t.co/C1YkTDfkFZ