What is Semantic Segmentation?
Image segmentation is a core task in computer vision that involves dividing an image into multiple segments or regions, typically […]
Semantic vs Instance Segmentation: All the Differences
In the rapidly advancing field of computer vision, image segmentation plays a pivotal role in enabling machines to understand and […]
What is Instance Segmentation?
Introduction What is Segmentation in Computer Vision? Segmentation is a core task in computer vision that involves dividing an image […]
What is Training Data? – A Complete Guide 2024
Why is Training Data Important? Training data is the foundation of Machine Learning (ML) models. Without good-quality training data, even […]
Machine Learning vs. Deep Learning: What Is the Difference?
If you’ve read about artificial intelligence, you’ve likely seen the terms machine learning and deep learning used side by side. […]
Data Labeling vs. Data Annotation: Everything You Need to Nnow
Data labeling and data annotation might sound similar, but they play different roles in making smart computer programs. In this […]
Keypoint Annotation: a Comprehensive Guide
Ever wondered how machines can recognize faces, estimate human poses, or detect objects with pinpoint accuracy? The answer lies in […]
Automated Data Annotation – Complete Guide
Introduction to Data Annotation Data annotation is one of the greatest achievements in machine learning (ML) as of late. It's […]
Ensuring Data Quality in AI
Why Is Data Quality Important in AI? The performance of intelligence (AI) systems greatly depends on the quality of the […]
Human-on-the-Loop in Machine Learning: What Is It and What It Isn’t
Getting deeper into machine learning, we come across the concept of Human-on-the-Loop (HOTL). This is an approach where human intelligence […]