Thomas A DorferinTowards Data Science·2 days agoMember-onlyEnhanced Object Detection: How To Effectively Implement YOLOv8A practical guide to object detection in images, videos, and real-time webcam feed using both CLI and Python — Introduction Object detection, a subfield of computer vision, is primarily concerned with the identification and localization of objects in images or videos with a certain degree of confidence. …Computer Vision7 min readComputer Vision7 min read
Ivan KudriavtsevinInside In-Sight·21 hours agoWhy You Need a High-Performance Tracking Systems For Multiple Object TrackingBack in the day, when we started developing computer vision systems, we relied on well-known open-source tracking solutions like the ones you may find for SORT and DeepSORT trackers on the Internet. The main reason for their popularity is that they are presented by algorithms’ authors and gathered thousands of…Computer Vision6 min readComputer Vision6 min read
Venali Sonone·1 day agoMember-onlyComputer visionComputer vision involves teaching machines to interpret and understand visual information from the world around them. Applications of computer vision include image and video recognition, object detection, and autonomous driving. — In this blog let’s build a complete computer vision container for GPU-based image preprocessing, pipelines, and model serving and monitoring. Los geht’s! Computer vision is a field of study in artificial intelligence (AI) and computer science that focuses on enabling computers to interpret and analyze visual data from the world…Computer Vision5 min readComputer Vision5 min read
Youssef ALBAGOURY·1 day agoLanding AI’s LandingLens Platform: The Easy Way to Build Computer Vision ModelsThe Intuitive Software Platform for Creating Accurate and Scalable AI-Based Computer Vision Models in Minutes. Building accurate computer vision models used to be a job for experts only. But Landing AI’s LandingLens platform changed that. …Computer Vision4 min readComputer Vision4 min read
Michael GalarnykinSynthetic Data·2 days agoSynthetic Data Best Practices for Perception ApplicationsAuthors: Michael Galarnyk, Nate Cibik, Omar Maher, Phillip Thomas There are many ways synthetic data can improve perception applications. The problem is that there aren’t a lot of widely known resources out there for learning how to get the best possible results when using synthetic data. …Computer Vision7 min readComputer Vision7 min read
SueinMLearning.ai·1 day agoMember-onlyAll you should know about translation equivariance/invariance in CNNTranslation invariance and translation equivariance are two important concepts in convolutional neural networks (CNNs) related to the network’s ability to recognise objects regardless of their position within an image. Translation invarianceComputer Vision6 min readComputer Vision6 min read
Thangadurai Jayaraman·2 days agoWhat is Computer Vision?In this digital era where AI is taking our life to the next step in which computer vision is playing a vital role. Let’s take a closer look at the term “computer vision.” To do this, we can start by considering how humans see and recognize objects. Everything around us…Computer Vision3 min readComputer Vision3 min read
Shantanuparab·1 day agoHough TransformDetection of features such as corners and lines from images is an essential process. This can be further used for feature matching and object detection. There are many different algorithms to detect lines such as Hough Transform, Probabilistic Hough Transform, LSD (Line Segment Detector), EDLines (Edge Drawing Lines), etc. Similarly…Computer Vision6 min readComputer Vision6 min read
OpenMMLab·2 days agoCVPR2023 | Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detectionpaper: https://arxiv.org/abs/2211.06368.pdf code: https://github.com/open-mmlab/mmrotate/tree/dev-1.x/configs/psc Oriented object detection, also known as rotated object detection, is the task of detecting the position of an object while simultaneously obtaining information about its orientation. Different from horizontal object detection, oriented object detection usually uses rotated rectangles or arbitrary quadrilaterals for object detection, which can…Computer Vision2 min readComputer Vision2 min read
Aishwarya Shrestha·2 days agoUnderstanding the Differences Between Convolution and Matrix Multiplication: A Guide to Master 2D Convolution in Python with ScipyMatrix multiplication and convolution are both linear operations, but they are different in the way they operate on the input data. Matrix multiplication Matrix multiplication involves the element-wise multiplication of two matrices followed by summing the resulting products to produce a scalar value. The result is a new matrix with dimensions that…Computer Vision4 min readComputer Vision4 min read
