Ango Hub
Ango Hub is an all-in-one, quality-oriented data annotation platform that AI teams can use. Ango Hub is available on-premise and in the cloud. It allows AI teams and their data annotation workforces to quickly and efficiently annotate their data without compromising quality.
Ango Hub is the only data annotation platform that focuses on quality. It features features that enhance the quality of your annotations. These include a centralized labeling system, a real time issue system, review workflows and sample label libraries. There is also consensus up to 30 on the same asset.
Ango Hub is versatile as well. It supports all data types that your team might require, including image, audio, text and native PDF. There are nearly twenty different labeling tools that you can use to annotate data. Some of these tools are unique to Ango hub, such as rotated bounding box, unlimited conditional questions, label relations and table-based labels for more complicated labeling tasks.
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Sendbird
Sendbird provides AI-powered omnichannel communication solutions, including AI agent for customer service, Chat API, and Business Messaging for seamless customer conversations across mobile apps, websites, social media, and more. Our platform supports iOS, Android, JavaScript, Unity, and .NET.
Sendbird’s AI Agent Platform enables businesses to automate customer support across a wide range of channels, including SMS, web, mobile apps, and social media. This solution leverages AI to provide proactive, continuous support by anticipating customer needs and engaging them on their preferred platforms. Businesses can build and manage their own AI agents with an easy-to-use interface, ensuring smooth customer interactions. The platform integrates seamlessly with existing systems, providing businesses with insights into customer conversations, improving agent performance, and offering reliable support in high-traffic environments.
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DeepAR
Experience a powerful and user-friendly SDK that drives 60 million augmented reality experiences each month. Enhance your applications with 3D face masks, effects, and more, boasting superior performance compared to Snapchat, all within an SDK designed for iOS, MacOS, Android, and HTML5 platforms. This versatile SDK allows for the addition of 3D face masks and effects, also outperforming Snapchat, and is compatible with Unity. Users can apply augmented reality effects to up to four faces simultaneously across any device without any glitches or delays. Utilizing cutting-edge deep learning techniques, the SDK enables real-time hair color changes during live video streams. Furthermore, it allows for the seamless replacement of backgrounds to create immersive AR experiences. The technology can detect a range of emotions—sadness, happiness, anger, surprise, and fear—within the video feed. It also tracks 17 key body points, including the waist, shoulders, elbows, arms, and head for enhanced interaction. Any 3D file can be transformed into an AR asset, allowing for extensive creative possibilities. Enjoy the advantages of every feature while adopting a pay-as-you-grow model. Signing up is free, and you can integrate the SDK in just a few minutes, with numerous prebuilt integrations available to simplify the process even further. With such a comprehensive set of tools at your disposal, you can easily elevate your AR projects to new heights.
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ARCore
ARCore provides the tools to create innovative augmented reality experiences that merge the digital realm with the physical environment. This technology revolutionizes how individuals engage in activities such as playing games, shopping, learning, creating, and interacting with the world on a large scale. As Google's dedicated platform for augmented reality development, ARCore offers a range of APIs that empower smartphones to perceive their surroundings, comprehend the environment, and engage with digital information. Some of these APIs facilitate shared AR experiences on both Android and iOS devices. The motion tracking feature allows smartphones to gauge and follow their position in relation to the physical world, while the environmental understanding component enables them to identify the dimensions and locations of various surfaces, including horizontal, vertical, and sloped areas like floors, tables, and walls. Additionally, light estimation helps the device assess the current lighting conditions of its surroundings, enhancing the realism of the augmented reality experience. Furthermore, ARCore's motion tracking utilizes the smartphone's camera to locate distinctive points within the environment, paving the way for more immersive interactions.
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