Image Annotation
Training of image datasets
for computer vision
Video Annotation
Identify frame-by-frame the
moving objects in the videos
Text Annotation
Annotating Text Datasets for
Training NLP Language Models
Training of image datasets
for computer vision
Identify frame-by-frame the
moving objects in the videos
Annotating Text Datasets for
Training NLP Language Models
Data annotation solution for all industries to render high-quality
training datasets for machine learning-based model development.
Autonomous flying drone uses the computer vision technology to detecting the objects to keep moving on the right path while flying in midair.
Self-driving cars under development, with adoption
of artificial intelligence and machine learning for better driving experience.
The AI in robotics not only helps to learn the model to perform certain tasks but also makes machines more intelligent to act in different scenarios.
Artificial intelligence in online shopping is transforming the E-commerce industry by predicting shopping patterns based on the products that shoppers buy and when they buy them.
AI in fintech can investigate driving factors such as analysis across diversified portfolio, historical data, equity value and risk management. Mathematical models can be developed from such data management.
Computer vision and machine learning are providing new ways to revolutionize learning and skills training at universities, colleges and school.
Machine learning in insurance is to predict premiums and losses for their policies. Detecting risks early in
the process and damage detection that gives
them a huge competitive advantage.
Machine learning in healthcare is helping patients, clinicians, automating medical billing, identifies complex patterns automatically and make intelligent decisions.
Artificial Intelligence in e-agriculture help healthier
crops, control pests, monitor soil, organize data
for farmers, and improve the entire food
supply chain.
AI-driven computer vision systems, allow computers to identify millions of elements of urban life simultaneously, such as people, cars, public
workers, trash, accidents, fires, disasters, etc.
AI for security and surveillance uses machine-based learning to monitor and analyze the images,
videos,and recognizing the movement of
human beings, vehicles and
different objects.
Machine learning model helps document analysis for legal use and become advanced enough for practical applications and for contract review.