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Galileo Unveils ML Data-Quality Intelligence Platform for Faster, More Accurate Computer Vision Models

Next-generation platform reduces computer vision model production time, boosts accuracy, and cuts data-labeling costs.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

Galileo, a machine-learning (ML) data intelligence company for unstructured data, has launched its proprietary data quality intelligence platform, Galileo Data Intelligence for Computer Vision. Galileo’s first solution to solve data quality issues across the entire ML workflow, the platform allows data scientists and ML engineers to automate their work, reducing model production time by a factor of 10, improving model accuracy by 15% across the board, and reducing data labeling costs for human-labeled data sets by 40%.

As the global datasphere expands, 80% of the anticipated 163 zettabytes available by 2025 will be unstructured, increasing the risk of errors and model production inefficiencies by forcing data scientists and ML engineers to manually track down and diagnose problems within models. The vast majority (84%) of data scientists and ML engineers report that this “needle in a haystack” approach to model error detection is “an issue for their teams at least some of the time,” according to a recent survey.

By adding just a few lines of Python code during model training, the Galileo Data Intelligence for Computer Vision platform automatically identifies problematic data that negatively impacts model performance, then suggests effective solutions for data science teams to address the issue. With the platform, engineers can address a major bottleneck in the data science workflow, which will allow for more efficiency and accuracy in iterations as well as in image classification, object detection, and semantic segmentation (pixel-level) models.

Galileo Data Intelligence for Computer Vision is helpful for teams building image classification, object detection, and semantic segmentation models across a broad range of industries, including e-commerce, retail technology, video intelligence, autonomous vehicles, healthcare, and customer experience. Galileo's growing list of satisfied customers, which includes Uniphore, Headspace Health, Spectrum Labs, Involve AI, Legartis, Enterpret, and numerous other software companies dedicated to enhancing data science and ML team operations, is a testament to the platform's effectiveness.

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