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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home4/scienrds/scienceandnerds/wp-includes/functions.php on line 6114Source:https:\/\/techcrunch.com\/2023\/05\/16\/visual-layer-helps-enterprise-manage-the-massive-visual-data-sets-they-need-to-build-ai-models-raises-7m\/<\/a><\/br> Training machine learning models for computer vision use cases takes massive amounts of images. Often, those images are mislabeled, broken or duplicated, leading to sub-par model performance. But with millions of images in many datasets, it\u2019s virtually impossible to catch these issues. Visual Layer<\/a>, a Tel Aviv-based startup that wants to enable data scientists and ML engineers to find these issues before they impact their models, today announced that it has raised a $7 million seed funding round led by Madrona and Insight Partners.<\/p>\n The company built a system that, without relying on expensive GPUs, can analyze hundreds of millions of images and automatically find potential issues within these datasets. At the core of Visual Layer\u2019s technology stack is the open source fastdub project<\/a>. The company was co-founded by Danny Bickson<\/a> (CEO) and Amir Alush<\/a> (CTO). They developed fastdub based on their experience at companies like Apple, where Bickson was previously a Sr. Data Science Manager after the company acquired the AI startup Turi (which he co-founded). Alush previously co-founded Brodmann17. Fastdup, which recently hit version 1.0, helps engineers find potential issues<\/a> in their image datasets, clusters and visualizes them.<\/p>\n
\nVisual Layer helps enterprise manage the massive visual datasets they need to build AI models, raises $7M<\/br>
\n2023-05-16 22:13:55<\/br><\/p>\n