AI Agent 
Compiled by Li Lin, Produced by QbitAI | WeChat Official Account QbitAI From the various image recognition software we have seen, machines seem to recognize faces, cats, dogs, flowers, various cars, and other objects that appear in daily life. However, there is a prerequisite: you need to train the system with images of these categories. … Read more
Python has a wide and powerful application in the field of image recognition. With some excellent libraries, even beginners can easily get started. Today, let’s discuss how to implement image recognition using Python, guiding you step by step into this magical world. 1. Essential Tool: OpenCV OpenCV (Open Source Computer Vision Library) is an open-source … Read more
Principal Component Analysis (PCA) is a “frequent visitor” in the field of data analysis, much like Zhuge Liang from the Three Kingdoms period, who always skillfully arranges troops on the “battlefield” of data, simplifying complexity. Its core idea is to project the original data onto a new coordinate system through linear transformation, maximizing the variance … Read more
Selected from arXiv Authors:Bing Xu, Andrew Tulloch, Yunpeng Chen, Xiaomeng Yang, Lin Qiao Compiled by Machine Heart Recently, Facebook AI proposed a new convolutional module called IdleBlock and a Hybrid Composition (HC) method using this module. Experiments show that this simple new method not only significantly improves network efficiency but also surpasses most neural architecture … Read more
Machine Heart Column Machine Heart Editorial Department Fine-grained image recognition [1] is an important research topic in visual perception learning, with enormous application value in the new intelligent economy and industrial internet, and has been widely applied in many real-world scenarios… Given the current lack of deep learning open-source toolkits in this field, Professor Wei … Read more
Reported by Xinzhi Yuan Editor: QJP [Xinzhi Yuan Guide] One of the biggest challenges in using machine learning (ML) algorithms (especially modern deep learning) for image recognition is the difficulty in understanding why a particular input image produces the predicted result. We have integrated visual interfaces for the state-of-the-art image interpretation techniques over the past … Read more
Introduction to OpenCV OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It contains hundreds of computer vision algorithms and is widely used in areas such as image processing, video analysis, object detection, and face recognition. OpenCV supports multiple programming languages, including C++, Python, and Java, and can … Read more
The video is based on the paper: Application of Artificial Intelligence in Automatic Homework Grading Systems, <— Click to read the original text var __INLINE_SCRIPT__ = (function () { 'use strict'; function _arrayLikeToArray$2(arr, len) { if (len == null || len > arr.length) len = arr.length; for (var i = 0, arr2 = new Array(len); … Read more
Hello everyone, I am Hao Ge! Today I want to share a very interesting topic with you — image recognition. With the development of artificial intelligence, image recognition technology has penetrated into all aspects of our lives. Whether it’s facial recognition for unlocking phones or object recognition in autonomous driving, this technology is indispensable. As … Read more
Title: ClassifyViStA: WCE Classification with Visual Understanding through Segmentation and Attention Published Date: 2024-12-24 Abstract:Gastrointestinal bleeding is a serious medical condition that poses significant diagnostic challenges, especially in areas with limited medical resources. Wireless capsule endoscopy (WCE) has become a powerful diagnostic tool for visualizing the gastrointestinal tract, but it requires time-consuming manual analysis by … Read more