This article will explain what problems CNN solves,the principles of human vision,the basic principles of CNN,The typical CNN and its practical applications in four aspects, helping you to understand Convolutional Neural Networks (CNN) in one article. 1.What Problems CNN Solves There are two major challenges in image processing: Huge Data Volume: Images are composed of … Read more
Selected from Analytics Vidhya Author:Pranav Dar Translated by Machine Heart Contributors: Chen Yunzhu, Lu This article introduces 25 open deep learning datasets, including those for image processing, natural language processing, speech recognition, and real-world problem datasets. Introduction The key to deep learning (or most fields in life) is practice. You need to practice solving various … Read more
Previously, I worked with OpenCV, but now the company has a project for OCR, and I’ve implemented it using Halcon. There is a lot of information online about OCR teaching, but it can be overwhelming. Below is the practical implementation based on the materials and the current project. First, we need to create a sample … Read more
1 Algorithm Introduction With the development of artificial intelligence, computer vision technology has become increasingly widely used. For example, in video surveillance for face recognition and identity analysis, medical diagnosis for analyzing and recognizing various medical images, fine-grained visual classification, facial image attribute recognition, fingerprint recognition, scene recognition, etc. Computer vision technology is gradually penetrating … Read more
Click on the above “Beginner’s Guide to Vision” to select “Star” or “Pin” Important content delivered promptly. Selected from | tryolabs Participated by | Mo Wang This is a beginner’s guide to computer vision, introducing the concepts, principles, and use cases of computer vision. The fantasy of machines simulating the human visual system is outdated. … Read more
Author: zzq https://zhuanlan.zhihu.com/p/68411179 This article is authorized, and unauthorized reproduction is not allowed. Introduction to Basic Components of CNN 1. Local Receptive Field In images, the connections between local pixels are relatively tight, while the connections between distant pixels are weaker. Therefore, each neuron does not need to perceive the entire image globally; it only … Read more
One original article per week, focusing on 5G, the Internet of Things, and Artificial Intelligence. Follow my 【Top Viewpoints】 to consistently utilize fragmented time for learning. Today, we will explore Baidu’s “Face and Body Recognition” open capabilities. With the widespread use of cameras, applications in the field of face and body recognition are becoming increasingly … Read more
Can you identify the repeated parts in these images without the marked indications? Source: Papers accused of image misconduct The above images are from a paper under investigation for academic misconduct.[1] Similar problematic images in papers have become increasingly common. Elisabeth Bik and her colleagues quantified and analyzed images from over 20,000 papers published between … Read more
Click the above “Beginner Learning Vision” and choose to add Star or “Pin” Important Content Delivered First Hand Previously, when introducing OCR recognition technology, we mentioned grayscale conversion in the image preprocessing section. You might wonder: Why do we need to convert color images to grayscale for image recognition? Before explaining this question, we need … Read more
Star Mark! Or Consultation?Choose one! Click on “Mars Era Education” above, then click the “…” in the upper right corner to set it as a star mark ★ The following text is from Quantum Bit (public account ID: QbitAI), written by Jin Lei Midjourney has developed the “Zoom Out” feature, which significantly expands imagination. Let’s … Read more