Industries Now Using Annotation

Healthcare

By labelling x-rays, CT scans, ultrasounds, and MRI reports, data annotation in healthcare supports machine learning initiatives. In order to identify medical issues and recommend therapies, deep learning neural network models are trained using this data.

Finance

Large-scale financial and insurance datasets are organized into insights using procedures for data annotation. Finance companies may identify market movements and provide their clients with advice by annotating financial data.

Insurance

Machine learning models are used to annotate insurance data to enhance client experiences. These AI models can help with risk assessment by generating intricate, observable behavioral patterns.

Government

Data are used by government professionals to evaluate public mood, guide policy decisions, and find security leaks.

Authentic Vehicles

Images and videos captured by multi-sensor cameras, accurately annotated, are necessary for autonomous cars. Vehicles can observe and interact with their surroundings just like people can thanks to these ground-truth datasets.

Commerce

Annotating data correctly enables businesses to provide outputs and consumer experiences that are appealing for e-commerce and other digital platforms.

Agriculture

Farmers can estimate harvest yields, use less water, and safeguard their crops by annotating agricultural data.

Social Media

Businesses may avoid counting social media likes and comments in favor of understanding the feelings and viewpoints around their brand, product, or service by using sentiment analysis and natural language processing.

GIS Mapping Service

To enhance city planning, assess project hazards, and improve infrastructure planning and management, data annotation is utilized in GIS analytics and mapping.

Legal

As supervised machine learning models are trained in the legal sector, more and more jobs that formerly needed manual labor are becoming automated. Contract reviews and understanding, clause negotiation, large-volume case law research, and ease of due diligence and document discovery are all possible using machine learning models.