Panoptic Segmentation – Data Annotation Guide
Over the past few decades, computer vision has made remarkable progress. What once involved recognizing simple geometric shapes has evolved […]
3D Cuboid Annotation: Features and Applications
What is a 3D Cuboid? A 3D cuboid is a volumetric bounding box in the shape of a rectangular prism […]
What is Text Annotation?
1. Introduction: What is Text Annotation? Ever tried reading an ancient script with no translation? The symbols look interesting, but […]
The Art and Science of Data Collection for Machine Learning: A Comprehensive Guide
Introduction In the realm of machine learning (ML), data is the driving force that shapes intelligent systems. Much like how […]
What is Image Segmentation?
Image segmentation is a pivotal process in computer vision that involves partitioning an image into distinct regions or segments. Each […]
Mastering Audio Transcription: Tools, Techniques, and AI-Powered Innovations
Audio transcription is the backbone of many modern workflows, transforming spoken words into text to make content accessible, searchable, and […]
15 Best Data Annotation Tools of 2025
In the ever-evolving landscape of Machine Learning (ML) and Artificial Intelligence (AI), quality data is king. The performance of models, […]
What is iBeta certification?
iBeta Certification Definition Imagine a world where your face, voice, or fingerprint unlocks everything from your phone to your bank […]
Annotating with Polygons: Best Practices
Polygon annotation is a cornerstone of computer vision (CV), used for marking objects with precise boundaries. This technique enables machine […]
Annotating With Bounding Boxes – Best Practices
Introduction to Bounding Box Annotation Bounding box annotation is foundational to computer vision projects that rely on accurately identifying and […]
Image Classification in Machine Learning: A Complete Guide
In our increasingly digital world, image classification stands out as a foundational technology that enables machines to understand and interpret […]
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 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 […]
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 […]
How To Generate Synthetic Data: Full Guide
Introduction What is Synthetic Data? What if we could create data that didn’t even exist yet, but still reflected the […]