Data Labeling

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Definition

Data Labeling tools use machine learning to identify raw data (images, text files, videos, etc.) and add informative labels that provide context so that machine learning models can learn from it.

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Products

Innotescus
By Innotescus
Innotescus is an image and video annotation paltform that provides an intuitive annotation workspace, comprehensive analytics, and a collaborative environment for teams to produce superior quality training datasets. The platform streamlines the Compu...
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Playment
By Playment
Playment is a no-code, self-serve data labeling platform that was designed to help ML teams create diverse, high-quality ground truth datasets. With GT Studio, anyone can effortlessly label data using high-precision 2D/3D annotation tools and manage ...
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About

CabinetM helps modern marketing and sales teams manage the technology they have and find the tools they need. The CabinetM marketing technology management platform enables full lifecycle support around technology discovery, qualification, implementation, and management. Marketing teams using CabinetM gain critical visibility and leverage to save time, money, drive revenue, and manage digital transformation. The company has built the industry’s most comprehensive database of over 15,000 marketing tools across 500+ categories, and currently has the largest set of marketing stack data as a result of hundreds of marketing stacks that have been built and are being managed on the platform.

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