Powering machine vision applications in Robotics
Weaving human and machine intelligence to help deep learning teams reach production at scale
Enriching AI capabilities in robotics
Computer vision serves an abundance of robotics applications – from manufacturing inspections to domestic services. Most of these, however, require application-specific customization, as targeted objects and surrounding environments vary by task. Model accuracy is also key, particularly in industrial settings, where microscopic defects and anomalies could result in costly malfunctions.
To answer such demands, Dataloop’s platform integrates automatic active learning with custom automation pipelines and plugins, combined with human-in-the-loop functions for data validation. This way, deployed models are continuously fed with representative and validated data that comes directly from your production environments, ensuring that your models produce outputs with maximum accuracy and are designed to answer the specific tasks at hand.
Dataloop's real-world applications in robotics
Select use cases that Dataloop advances
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“We love working with Dataloop; their data management platform allows us to simultaneously ensure multiple projects are labeled, tasked and QA'd regardless of where our workforce is based.”
“The team at Dataloop provide a powerful platform with a suite of tools. Thanks to Dataloop, we're able to successfully test our algorithms and improve our ADAS and autonomous driving features"
“Data accuracy is critical to the development of our autonomous systems. Dataloop provides our team with a powerful and intuitive platform that allows us to create top quality and accurate datasets”