13 posts with this tag
Learn how an innovative medical device company, Pathware, is leveraging a training data platform to more quickly iterate on high-quality ML data. Their mission is to ultimately simplify digital pathology workflows and save hospitals billions of dollars.
Gareth Jones, data scientist at Arturo, recently spoke with our COO, Brian Rieger on how Arturo’s machine learning team built mature and complex AI-first products while juggling resource costs, data labeling and scalability as top priorities.
Andrew and Seraj are masters graduate researchers at Stanford University attending CS230 Deep Learning. Their research project focused on identifying suitable areas to land urban air vehicles through satellite imagery.
Recently, a team of researchers at the Institute of Industrial Science, a part of The University of Tokyo, leveraged Labelbox's model-assisted labeling features in order to speed up their machine learning processes by 2-3x.
I participated in an amazing AI challenge through Omdena’s community where we built a classification model for trees to prevent fires and save lives using satellite imagery. Omdena brings together AI enthusiasts from around the world to address real-world challenges through AI models.
In this article, we discuss why and how we built a new labeling ontology feature to support American Family's use case. Labeling ontology is critical for machine learning applications. It determines what the labeler can label and, in turn, the categories the model will be able to identify.
A Guide to Outsourcing Without Compromising Data QualityIn order for data science teams to outsource annotation to a managed workforce provider — also known as a Business Process Outsourcer (BPO) — they must first have the tools and infrastructure to store and manage their training data. Data management tools and infrastructure should
SomaDetect SomaDetect provides dairy farmers with the information they need to produce the highest quality milk with the resources they have today, for a more sustainable dairy food system. An important part of making this happen is is machine learning and computer vision. We spoke with Bharath Sudarsan, Director of
Lytx® — as in analytics — harnesses the power of video to transform transportation fleets with improved safety, efficiency, productivity and profitability. Lytx pioneered the video telematics category two decades ago when it launched its DriveCam® safety program, and remains the market leader today. With more than 500,000 subscriptions, Lytx protects