Dataloop AI
                
                Manage  unstructured data and pipelines to develop AI solutions at amazing speed.
Enterprise-grade data platform for vision AI. Dataloop is a one-stop shop for building and deploying powerful computer vision pipelines data labeling, automating data ops, customizing production pipelines and weaving the human-in-the-loop for data validation. Our vision is to make machine learning-based systems accessible, affordable and scalable for all.
Explore and analyze vast quantities of unstructured data from diverse sources. Rely on automated preprocessing and embeddings to identify similarities and find the data you need. Curate, version, clean, and route your data to wherever it’s needed to create exceptional AI applications.
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                Prophesee Metavision
                
                Metavision is an advanced event-based vision software toolkit developed by Prophesee, designed to facilitate the evaluation, design, and commercialization of event-based vision products. The SDK offers a comprehensive suite of tools, including 64 algorithms, 105 code samples, and 17 tutorials, enabling developers to efficiently build and deploy event-based applications. The open source architecture of Metavision SDK ensures full interoperability between software and hardware devices, fostering a rapidly growing event-based vision community. The platform covers a wide range of computer vision fields, such as machine learning, computer vision, camera calibration, and high-performance applications. Developers have access to extensive documentation, including over 300 pages of content, programming guides, and reference data, providing a solid foundation for product development. Metavision SDK5 PRO includes advanced add-ons like high-speed counting, spatter monitoring, and more.
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                Amazon Rekognition
                
                Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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                Azure Computer Vision
                
                Boost content discoverability, automate text extraction, analyze video in real time, and create products that more people can use by embedding vision capabilities in your apps. Use visual data processing to label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people’s movement in physical spaces. No machine learning expertise is required.
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