Labelflow

LabelFlow

 

September 2021 – Sterblue, the central platform for infrastructure inspections, today announced the launch of LabelFlow, the open platform for image labeling.

Over the last five years, the Sterblue team has built an AI-powered cloud platform to support the largest energy companies in the world (EDP, E.ON, American Electric Power, Enedis, ESB, etc.) in managing their critical assets, such as wind turbines, transmission and distribution grids, and cooling towers. Machine learning has been a huge part of the product.

With millions of images processed on the platform, AI has been used extensively to detect discrepancies (corrosion, cracks, vegetation, etc.), locate assets in space and generate automatic flight paths for drones, among many other applications.

Five years ago, showing bounding boxes on an image on a Linkedln or blog post was the big marketing trend. Sterblue chose to do it the hard way, by scaling up with AI.

“We labeled millions of images and worked with a number of different labelling companies. We also dealt with many different taxonomies for the same physical problem. We faced labelling quality challenges; we built AI training pipelines using tens of open source frameworks and ecosystem partners, and we brought real users into the loop. We really felt some pain here to easily unleash AI’s full potential real-world cases,” said Geoffrey Vancassel, LabelFlow’s CEO and co-Founder.

“At LabelFlow, we want to support every AI-applied company in the world to build the next big thing. We’re starting small with our labelling tool, with a huge focus on user experience and ecosystem openness. You can get the tool tested in two minutes with no log-in required, then start building your data set. LabelFlow becomes your single source of truth.” added Nicolas Draber, LabelFlow’s CPO and co-Founder.

How is LabelFlow different from other players on the market?

  • Smooth user experience: Give it a try, no login required! Priority has been given to user experience and an easy onboarding process.
  • Speed: LabelFlow is designed for optimum productivity. Keyboard shortcuts, interface layout and everything else is designed by users for users.
  • Data ownership: LabelFlow does not try to own your data or algorithms, but integrates with them seamlessly. No duplicate source of truth and complicated scripts to synchronize your data between various tools. Your database is the only source of truth for LabelFlow.
  • Open community and standard: Our mission is to standardize best practices around visual data management. Data set curation should not require any ‘secret sauce’. LabelFlow is building a community around an open labeling tool to set the standard.

About Sterblue:

Sterblue built the central platform for infrastructure inspections, focusing on helping energy companies monitor their assets. Sterblue software manages multiple sources of data (drone, satellite, helicopter, smartphone, etc.) to output unique insights (dashboards, AI-labelled images, 3D models, maps, etc.). Sterblue fixes massive problems such as wildfires caused by power grids or even wind turbine blade failure.

About LabelFlow:

LabelFlow builds the open platform for image labelling to support building the next big thing with AI. LabelFlow allows data scientists, AI startups & corporations to properly create and manage their datasets to bring computer-vision-based AI to scale. LabelFlow technology was used over the last 5 years to label 1.5m images helping the largest energy companies in the world to monitor their critical assets.

Contact:

geoffrey.vancassel@LabelFlow.ai
+336 68 669 484

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