Маркировка данных
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Heartex is an annotations management system with UI configurable for your specific needs. Start using it and minimize the amount of time your entire team spends on preparing, analyzing, and labeling datasets for machine learning.
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The most powerful training data platform for computer vision. V7 is an automated annotation platform combining dataset management, image and video annotation, and autoML model training to automatically complete labelling tasks. V7 enables team to store, manage, annotate, and automate their data annotation workflows in: - Images - Video - DICOM medical…
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Appen collects and labels images, text, speech, audio, video, and other data to create training data used to build and continuously improve the world’s most innovative artificial intelligence systems. We offer a state of the art, licensable data annotation platform to annotate training data use cases in computer vision and natural language processing…
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Playment’s GT Studio is a no-code, self-serve data labeling platform that is heuristically designed to help ML teams create diverse, high-quality ground truth datasets at an efficient cost, scale, and speed. Most ML teams work with sub-optimal data or rely on tools or processes that take up a significant amount of their time which could be spent…
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CloudFactory is a global leader in combining people and technology to provide workforce solutions for machine learning and business process optimization. Our growing team of data analysts prepare the data that powers products and trains artificial intelligence. We work with innovators across diverse industries and process millions of tasks a day for…
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Apres automates AI training with a platform to generate and manage high-quality AI training data at scale.
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TaQadam means Progress. TaQadam is a female founded startup that aims to advance economic opportunity for youth and democratize GEO-AI. TaQadam develops imagery solutions for market intelligence, monitoring and measuring of business risks and vulnerabilities. We believe the development of a global map of physical assets and infrastructure is essential…
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