Python | Multiple Face Recognition using dlib
This article aims to quickly build a Python face recognition program to easily train multiple images per person and get started with recognizing known faces in an image....
read more
Computer Vision Engineer Salary: Freshers & Experienced
Computer Vision Engineers are specialized professionals who develop systems and algorithms to interpret visual data. With the proliferation of AI and machine learning applications, the demand for computer vision expertise is skyrocketing. This blog provides a comprehensive overview of the salary landscape for Computer Vision Engineers, including factors influencing pay, geographical variations, and future trends....
read more
Convolutional Variational Autoencoder in Tensorflow
In the age of Generative AI, the creation of generative models is very crucial for learning and synthesizing complex data distributions within the dataset. By incorporating convolutional layers with Variational Autoencoders, we can create a such kind of generative model. In this article, we will discuss about CVAE and implement it....
read more
Artificial Intelligence (AI) Algorithms
Artificial Intelligence (AI) is revolutionizing industries, transforming the way we interact with technology. With a growing interest in mastering AI, we’ve crafted a tutorial on AI algorithms, based on extensive research in the field. This tutorial covers core algorithms that serve as the backbone of artificially intelligent systems....
read more
Region Proposal Network (RPN) in Object Detection
In recent times Object Detection Algorithms have evolved manifold and this has led to many advancements in the applications which helped us solve real-world problems with the utmost efficiency and latency of real-time. In this article, we will look a Region Proposal Networks which serve as an important milestone in the advancements of Object Detection Algorithms....
read more
Mask R-CNN | ML
The article provides a comprehensive understanding of the evolution from basic Convolutional Neural Networks (CNN) to the sophisticated Mask R-CNN, exploring the iterative improvements in object detection, instance segmentation, and the challenges and advantages associated with each model....
read more
Top Books for Learning OpenCV: Computer Vision with OpenCV Library
OpenCV or Open Source Computer Vision Library, is an open-source computer vision and machine learning software library. It’s extensively used for real-time computer vision tasks such as object detection, face recognition, image processing, etc. Whether you’re a beginner or an experienced developer looking to deepen your understanding of OpenCV, here is a list of seven must-read books that cater to both beginners and seasoned developers looking to harness the power of OpenCV....
read more
Difference between Computer Vision API and Custom Vision API
In this article, we will explore Microsoft Azure’s Computer Vision API and Custom Vision API, two robust tools for image analysis and processing....
read more
Top 7 Most Popular Computer Vision Tools in 2020
Open your phone and check the first image in your gallery? You can easily identify the people in the image and even describe it to your friend. That’s because it is very easy for humans to see things and describe what they are seeing but is that the same for computers? Not at all! It isn’t that easy for computers to “see” as it is for humans. And that is why the field of Computer Vision is so important as it tries to find better and faster ways for computers to “see”....
read more
Human Pose Detection using MoveNet with Tensorflowhub
Computer vision has an exciting area called human pose detection, which deals with the identification and tracking of postures or forms of people in digital images or videos. This technology is applicable in a wide range of areas including fitness tracking, augmented reality, surveillance and sports analytics. MoveNet is one of the cutting-edge utilities employed for identifying human poses and relies on TensorFlow as well as TensorFlow Hub for accurate as well as efficient pose estimation. In this article, we are going to implement MoveNet model for human pose detection in both static images and image sequences....
read more
What is Batch Normalization in CNN?
Batch Normalization is a technique used to improve the training and performance of neural networks, particularly CNNs. The article aims to provide an overview of batch normalization in CNNs along with the implementation in PyTorch and TensorFlow....
read more
Object Detection using yolov8
In the world of computer vision, YOLOv8 object detection really stands out for its super accuracy and speed. It’s the latest version of the YOLO series, and it’s known for being able to detect objects in real-time. YOLOv8 takes web applications, APIs, and image analysis to the next level with its top-notch object detection. In this article, we will see how yolov8 is utilised for object detection....
read more