Discover what is mean average precision (mAP) in object detection, learn about evaluation metrics, calculation methods and interpretation of mAP scores.

Unravel the mysteries of OCR and its diverse applications across various sectors and learn about its transformative potential.

What is image classification and how does it work in machine learning? Let's explore the algorithms and deep neural networks for image classification.

See how SuperAnnotate improved the Meta AI's newly released Segment Anything Model regarding annotation tooling.

Learn about convolutional neural networks and their development from the early 90s: a full timeline, application rundown, and much more.

Learn how SuperAnnotate enhanced the Segment Anything Model's capabilities in an advanced environment on its all-in-one AI data infrastructure platform.

As diverse as OCR is, it can start with the simplest action like scanning a text to learn about its origin or translating it. Read our blog for more.

Get a grasp of AI-assisted data labeling and how it strengths the link between manual and automated data labeling.

Get a feel of how neural networks work on LiDAR data, how LiDAR differs from 2D images, and how LiDAR annotation works.

Get to know the ins and outs of computer vision in sports, possible challenges and limitations as well as popular sports datasets through this post.

Wondering which dataset to use to get started with ML model training? Check out our comprehensive blog post on the COCO dataset.

Learn how agriculture automation is improved through computer vision-inspired solutions by clicking on this article.