From early disease detection through enhanced medical decision-making to better patient outcomes—here's how AI technology is transforming the healthcare industry.
The next generation of machines is here—and they can learn autonomously how to perform human tasks. Read this guide to understand the most important machine learning concepts.
AI and machine learning offer the AI-first insurers a competitive edge over their rivals. Here is an overview of the latest advancements in the AI insurance space and their real-world applications.
Data is the soul of every machine learning model. Here's why the world’s greatest machine learning teams spend more than a whopping 80% of their time improving training data.
The accuracy of your AI model is directly correlated to the quality of data used to train it. Learn why data labeling is an integral part of data preparation workflow and start building reliable AI models.
From self driving cars, through defect detection to medical imaging — here's how computer vision is helping modern businesses to solve complex visual tasks.
Computer vision is currently one of the hottest fields of artificial intelligence—and object detection played a key role in its rapid development. This guide will help you understand basic object detection concepts.
What is YOLO and how does it work? Learn about different YOLO versions and start training your own object detection models using personalized datasets of your choice.
From handwritten content to printed text and image-only digital documents—learn how to use Optical Character Recognition to convert any kind of image containing written text into machine-readable text data.
What makes a good bounding box annotation tool? Take a look at our cherry-picked list of nine essential features that every bounding box tool should offer.
What to pay attention to and what to avoid when annotating with bounding boxes? Follow this set of best practices to ensure your model's highest accuracy.
Discover 13 most popular image annotation tools of 2021. Compare their features and pricing, and choose the best data annotation tool for your needs.
What is image classification and why is it important? Check out this beginner's guide to image recognition and build your own image classifier today.
The use of computer vision in medical imaging analysis has a plethora of benefits. The downside? Limited access to data. Check out this list of open healthcare datasets to find data faster.
We're telling the stories of teams that pioneer neural networks to solve any visual task. You can join them by signing up to V7 - the only platform to develop AIs for aony computer vision use case, and monitor them in production.You'll be able to develop your own training data and models, or apply pre-existing AI models to solve new use cases.Learn about V7