AI-Assisted Data Labeling Service for Faster Image Annotation
Leveraging AI-powered algorithms to automatically label data with minimal human intervention. Our AI-assisted data labeling service can help AI enterprises streamline data labeling processes and save time and resources and are ideal for businesses that generate large amounts of data and need to quickly and accurately label it for analysis and integration into ML models.
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AI-assisted data labeling is a process that uses artificial intelligence (AI) algorithms to automate the labeling of data. It is an efficient method of labeling data that requires minimal human intervention. AI-assisted data labeling uses machine learning algorithms to analyze data and automatically assign labels to it. The labels can then be used for further analysis and to build machine learning models. AI-Assisted Data Labeling Process
AI-Assisted Data Labeling Involves:
Polyline Data Labeling
Polyline data labeling is the process of assigning attributes or labels to a set of polyline data. Labeling polyline data can be done manually or through automated methods, such as computer vision algorithms.
AI-assisted labeling can help identify areas of interest, assess the risk of flooding, and more. This data can be used in other applications such as Geographic Information Systems (GIS) to represent roads, rivers, and other features.
Polygon Data Labeling
The process of labeling polygon data describes the characteristics of polygons by assigning labels or tags. Images within polygons are labeled according to their shape, size, location, or other characteristics.
In model-assisted labeling, objects within an image are classified based on characters, such as residential, industrial, or agricultural. Labels can also be used to indicate ownership or management of features/characters shown in an image, such as a national park or private property.
Semantic Segmentation Data Labeling
Semantic segmentation data labeling involves assigning labels to individual pixels according to the object they belong to in an image. These labels can be used to identify objects in the image, such as people, trees, roads, etc.
For example, a pixel in an image of a person might be labeled as “person” while a pixel in an image of a tree might be labeled as “tree”. AI-assisted annotation & labeling helps train algorithms to recognize and classify objects in images.
3D Boxes Data Labeling
3D box data labeling involves labeling the 3D object in an image. This typically involves creating a 3D bounding box around the object and labeling it with a class or type of object.
These labels can then be used to help train a computer vision system to recognize the object in other images. The AI-assisted labeling service we deliver includes human experts and automated labeling tools to ensure precision and pace in data processing.
AI-Assisted Data Labeling Use Cases
There are a wide range of applications that can benefit from data labeling, from medical imaging to natural language understanding and self-driving cars. While medical imaging makes use of labels to identify different types of tissue and organs, natural language processing (NLP) uses labels to categorize text. In self-driving cars, labels are used to identify objects in the environment, such as cars, pedestrians, and traffic signs.
Automobile Automation
Providing the automobile industry with well-annotated AI training data to facilitate quick deployment of AI in vehicles to detect vulnerable roads and road users, traffic lights, traffic signals, and vehicles.
Security & Surveillance
Enabling AI in security cameras and drones to accurately detect and view the complete depth of objects such as humans, automobiles, animals, and property by utilizing our training data.
Agriculture
With the proper implementation of AI with our annotated training data, farmers and agriculture businessmen can get a full-scale topographical view of land and analyze to forge a plan of action to maximize their overall gains.
Outsource To Us
With Cogito as your preferred AI Training data partner, enjoy highly refined video annotations tailored to meet specific industry needs.
Quality on a Promise
Our team comprises experienced professionals who are deeply committed to providing well-refined video annotation services.
Uncompromised Data Security
Data security and maintaining our client’s confidentiality is our foremost priority. We ensure no data breach occurs at any point in the annotation process.
Scalable with Quick Turnaround Time
Cogito comprises all required resources and infrastructure to offer unparalleled video annotation services keeping timeliness and quality intact.
Flexible Pricing
Our prices can be customized as per the specific services our clients wish to avail. We offer flexible pricing and a pay-as-you-avail pricing model.
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Let us help you develop computer vision-based models and AI algorithms by providing the best data annotation services.