Introduction OpenCV’s contour function is a fundamental feature in computer vision that allows for the detection and analysis of the shapes and boundaries of objects within an image. By defining contours as curves connecting continuous points along a boundary with the same color or intensity, this function enables various applications, from object detection to shape […] The post Exploring OpenCV’s Contour Function: A Deep Dive into Image Processing appeared first on Analytics Vidhya ..read more

Introduction Imagine walking into a room and instantly recognizing every object around you: the chairs, the tables, the laptop on the desk, and even the cup of coffee in your hand. Now, imagine a computer doing the same thing, in the blink of an eye. This is the magic of computer vision, and one of […] The post YOLOv10: Revolutionizing Real-Time Object Detection appeared first on Analytics Vidhya ..read more

Introduction Think of letting a computer not only see something but also comprehend it. This is at the heart of object detection and a key application area in Computer Vision that has dramatically changed how machines interact with the world. Self-driving cars traversing through packed streets or security mechanisms recognize potential threats, and object detection […] The post Object Detection Algorithms: R-CNN, Fast R-CNN, Faster R-CNN, and YOLO appeared first on Analytics Vidhya ..read more

Introduction Meta AI (formerly Facebook AI) has introduced a revolutionary AI model called SAM (Segment Anything Model), representing a significant leap forward in computer vision and image segmentation technology. This article explores SAM’s features, capabilities, potential applications, and implications for various industries. Overview What is SAM? SAM, or Segment Anything Model, is an AI model […] The post Segment Anything Model(SAM): Meta’s Groundbreaking Segment Anything Model appeared first on Analytics Vidhya ..read more

Introduction This article explores Vision Language Models (VLMs) and their advantages over traditional computer vision-based models. It highlights the benefits of multimodal learning, their application in tasks such as image captioning and visual question answering, and the pre-training objectives and protocols of OpenAI’s SimVLM and CLIP. Learning Objectives This article was published as a part […] The post What are Pre-training Methods of Vision Language Models? appeared first on Analytics Vidhya ..read more

Introduction The article explores zero-shot learning, a machine learning technique that classifies unseen examples, focusing on zero-shot image classification. It discusses the mechanics of zero-shot image classification, implementation methods, benefits and challenges, practical applications, and future directions. Overview What is Zero-Shot Learning? A machine learning technique known as “zero-shot learning” (ZSL) allows a model to […] The post Guide to Zero-Shot Image Classification appeared first on Analytics Vidhya ..read more

Introduction The Conference on Computer Vision and Pattern Recognition (CVPR) is undeniably the leading annual event in its field. As expected, CVPR 2024, held from June 17th to 21st at the Seattle Convention Center, USA, proved to be a resounding success. This year’s conference witnessed a record-breaking number of submissions – a staggering 11,532, reflecting […] The post Everything About CVPR 2024 – The Biggest Computer Vision Conference of the Year appeared first on Analytics Vidhya ..read more

Introduction Imagine a future in which computer vision models, without requiring significant training on certain classes, are able to detect objects in photos. Greetings from the fascinating world of zero-shot object recognition! We’ll examine the innovative OWL-ViT model and how it’s transforming object detection in this extensive guide. Prepare to explore real-world code examples and […] The post Guide on Zero-Shot Object Detection with OWL-ViT appeared first on Analytics Vidhya ..read more

Introduction Analysis of  blood cells is a important step in the diagnosis of a wide range of medical disorders like infections and anaemia to more serious diseases like leukaemia. Conventionally, this was done the old way – where a lab technician would go through microscope blood smear slides, spending a couple of hours. This process […] The post Blood Cell Segmentation with Mask R-CNN appeared first on Analytics Vidhya ..read more

Introduction Have you ever thought how your computer can read text from images? It is all thanks to something called Optical Character Recognition, or OCR. In Python, there are some cool libraries that help your computer understand text in pictures. From Google’s powerful Tesseract to EasyOCR’s fancy deep learning, these libraries can do some pretty […] The post Top 8 OCR Libraries in Python to Extract Text from Image appeared first on Analytics Vidhya ..read more