Although the world has shifted rapidly towards digitization, some documents and papers still contain some of the most complex information. As public information becomes more abundant, the challenge of making raw, unstructured data machine-readable arises. As a matter of fact, video and images are easier to comprehend than text. As an e... Read More

The Healthcare sector is among the largest and most critical service sectors, globally. Recent events like the Covid-19 pandemic have furthered the challenge to handle medical emergencies with contemplative capacity and infrastructure. Within the healthcare domain, healthcare equipment supply and usage have come under sharp focus durin... Read More

A major step in the development of computer vision systems, AI-based machine learning models, and prediction applications is building well-optimized training data, i.e., the training data that consists of high-quality image annotation and labeling. The AI training data, as a matter of fact, is a principal prerequisite for enabling comp... Read More

Introduction: In the face of the rise of artificial intelligence and computer vision has become a critical part of applying the technology to everyday problems. Computer vision robotics is one of the most used AI techniques to improve human performance. In this blog post, we’ll explore the current state of computer vision robotics, inc... Read More

Data annotation is a tedious process, and the cost of hiring human annotators is rising. With the help of a dedicated team of audio experts and speech scientists at Anolytics, we can create an effective solution to meet your project's audio annotation needs. We offer the most efficient solution to collect and annotate speech and audio ... Read More

Business-specific image annotation customized to your automation goals — let custom image annotation experts bring you the aid to functionalize your AI model. Cogito specializes in image annotation technology and image annotation deep learning services. Introduction A major step in the development of computer vision systems, AI-based m... Read More

In an image, bounding boxes illustrate a potential region of interest (ROI). Every feature recognition/detection algorithm, in general, delivers the ROI in the form of pixel coordinates, width, and height. We commonly write our technique to draw boxes using the initial coordinates and the width and height (in pixels). In computer visio... Read More

AI in Healthcare Diagnostics  What determines whether a patient is suffering from an illness, and when? When you hear the term AI medical diagnosis, your first impression may be that it's some synthetic human intelligence. In other words, this is a universal Human Intelligence Project run by artificial machines that can detect dis... Read More

Artificial intelligence is concerned with finding ways for computers to perform the same functions as humans. However, computers cannot make decisions on their own, i.e., they cannot make decisions without human intervention. The ability of computers to make decisions with their own intelligence makes machines operate and think like ma... Read More

Computer vision is a branch of AI that deals with processing and comprehending digital pictures. Image segmentation deep learning is crucial in computer vision, with applications as diverse as self-driving automobiles and medical image analysis. Image segmentation is known as the technique of segmenting a digital image into many pieces... Read More

Bounding box predictors, also known as region proposal networks (RPNs), are a class of deep neural network layers used in computer vision tasks to generate proposals that can create masks around objects in an image. The bounding box is the smallest rectangular region within which an object may be found. For example, if you wanted to fi... Read More

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