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A.I Data Labeling & Annotation

AI data labeling and annotation are important tasks in training machine learning models. Data labeling involves the process of tagging or categorizing data, such as text, images, or videos, with specific labels or annotations that are relevant to the machine learning task at hand. For example, in an image recognition task, the labels may identify objects, people, or actions present in the image.

 

Annotation involves adding additional information to the data, such as bounding boxes or key points, to provide more context for the machine learning model. For example, in an object detection task, bounding boxes may be used to indicate the location of objects in an image.

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Reality 360 VR

360-degree virtual reality (360VR) is a technology that allows users to experience a simulated environment that is immersive and interactive. With 360VR, users can view and interact with a virtual environment in a 360-degree view, allowing them to look around and explore the surroundings in a natural way.

360VR is typically created using specialized cameras or 3D rendering software that capture or create a 360-degree view of an environment. This view can then be experienced using a VR headset or a web browser that supports 360-degree video playback.

360VR can be used for a variety of applications, including entertainment, education, training, and marketing. For example, it can be used to create immersive gaming experiences, virtual tours of real estate properties or tourist destinations, training simulations for dangerous or complex tasks, or interactive product demonstrations for businesses.

Overall, 360VR provides a powerful tool for creating immersive and engaging experiences that can transport users to new places and provide unique perspectives on the world around us.

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Network & Server Infrastructure

Network infrastructure refers to the physical and virtual components that enable communication and data transfer between devices and systems. It includes network devices such as routers, switches, firewalls, and access points, as well as the cables, wires, and wireless protocols used to connect them.

Server infrastructure, on the other hand, refers to the hardware and software components used to support the operation and management of server systems. This includes servers, storage devices, backup and recovery systems, virtualization software, and other tools used to manage and monitor server performance.

Together, network and server infrastructure form the backbone of modern IT systems, enabling organizations to communicate, collaborate, and share resources across different locations and devices. Effective management and optimization of these systems is essential for maintaining security, reliability, and performance in today’s digital landscape.

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Why eSysVision

eSysVision is provides data collection, refinement, processing, verification and A.I model development services required for artificial intelligence development.

 

And I perfectly performed two NIA tasks.

 

It is possible to collect, refine, process, and apply AI models on its own, and has data processing infrastructure.

 

NIA 과제 2개수주 및 완벽수행

NIA 과제 수행 우수등급

빠른 과제 수행 및 인원 확보

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