Object tracking is a crucial task in computer vision that involves locating and following a specific object in a video or image sequence. It has numerous applications in various fields, including surveillance, robotics, autonomous vehicles, and augmented reality. In this article, we will explore in detail about what is object tracking in computer vision, its importance, and the different techni...

Face recognition is a rapidly growing field in artificial intelligence and computer vision. With the breakthroughs made in deep convolutional neural networks, face recognition has become an important application in the industrial world. In this article, we will explore the best algorithms for face recognition, including their history, pipeline, and evaluation datasets. History of Face Recogn...

A New Scheme for Training Object Class Detectors Using Only Human Verification!  Object class detection is a central problem in computer vision. It involves identifying and localizing objects of interest in an image. One of the most common methods for training object class detectors is through the use of bounding-box annotations. However, manually drawing bounding-boxes is a tedious and...

Computer vision is a rapidly growing field that is transforming various industries, from healthcare to retail. With the help of artificial intelligence and machine learning, computer vision startups are developing innovative solutions that can analyze and understand images on an advanced level. In this article, we will explore the top 10 computer vision startups, along with their unique offerin...

Object detection is a crucial aspect of computer vision that involves identifying and locating objects within an image or video. It has numerous applications in various fields, including surveillance, autonomous vehicles, robotics, and medical imaging. In this guide, I’ll explore everything you need to know about object detection, including its definition, challenges, techniques, and real...

As we delve deeper into the digital age, the amount of textual data we produce continues to grow at an unprecedented rate. This vast sea of data can be challenging to navigate, particularly when we need to extract specific pieces of information. This is where Named Entity Recognition (NER) comes into play and helps us. NER isn’t just about detecting words; it’s about understandin...

Artificial intelligence (AI) has revolutionized the field of computer vision, unlocking unprecedented possibilities in visual perception and analysis. The groundbreaking synergy between AI and computer vision has empowered industries, including healthcare, automotive, retail, and security, to harness the power of data-driven insights and automation. Through the seamless integration of machin...

Image segmentation is a process of partitioning an image into multiple segments, making it easier to analyze and understand. It is a valuable tool in many fields, including healthcare, traffic analysis, and pattern recognition. There are different techniques and approaches for image segmentation, each with its own advantages and disadvantages. In this article, we will explore some of the best i...

Light Detection and Ranging, universally known as LiDAR, is transforming the ways of navigation. Once relegated to niche applications, today Lidar stands at the vanguard of a multitude of sectors. It’s reshaping our perception and interaction with the physical world. As 2023 unfolds, the scope and applications of Lidar technology continue to expand, making it an opportune moment to explore its ...

We’ve seen the ascendance of Lidar (Light Detection and Ranging) technology, revolutionizing our perception of the world. Its role in the rapidly growing fields of autonomous vehicles, advanced robotics, and 3D mapping cannot be overlooked. But with so many companies entering this space, identifying the best LiDAR company can be challenging. As 2023 unfolds, the ecosystem is rife with Lidar ...