Originally published in “China Archives News” Author: Xu Liang Optical Character Recognition (OCR) is a technology that converts textual information in images into character information that can be processed by computers, functioning as the “eyes” of computers and serving as an important technological foundation for visual interaction between machines and the real world. The early … Read more
Recently, I received a small project that involved organizing the vector boundaries of rivers. The task is quite simple as the data is available; however, the key issue is that the provided data was collected around 2010 and is only available in hard copy, with no electronic version. The coordinates are organized in columns, covering … Read more
[New Friends] To know more serialized articles, please follow the blue text below the title “Zhenli Pai”, and check the historical messages. [Old Friends] Click the top right corner “…”, to forward or share this article with your friends. Background (Introduction) With the rapid development of computer networks, the electronicization of information has become an … Read more
Click the above“Beginner’s Guide to Vision” and choose to add a Star or “Pin” Important content delivered first This article is adapted from | Python Big Data Analysis What is OCR? There is a software called “ScanMaster”, which some of you may have heard of. This is an integrated OCR software that can scan image … Read more
Transformers, as an attention-based encoder-decoder architecture, have not only revolutionized the field of Natural Language Processing (NLP) but have also made groundbreaking contributions to the field of Computer Vision (CV). Compared to Convolutional Neural Networks (CNNs), Vision Transformers (ViT) rely on excellent modeling capabilities, achieving outstanding performance on several benchmarks including ImageNet, COCO, and ADE20k. … Read more
Yesterday, I spent several hours deeply experiencing DeepSeek’s latest open-source multimodal model, Janus Pro. I must say, this model feels like a combination of a “top student” and a “poor performer”—it truly dazzles in image understanding but disappoints in text-to-image generation. Let’s take a closer look at the detailed performance of this “dual-natured” model. First … Read more
In an era where the demand for image recognition is experiencing explosive growth, visual content is continuously replacing traditional text content needs, leading to the development of more and more image recognition solution technologies. With the rapid development of image recognition technology, it has found widespread applications across various industries. Based on Amazon Web Services, … Read more
In an era of explosive growth in image recognition demands, visual content is continuously replacing traditional text content needs, leading to the development of more image recognition solution technologies. With the rapid development of image recognition technology, it has found widespread applications across various industries. Based on Amazon Web Services, it can easily meet various … Read more
Welcome to click “Science Net” ↑ to follow us! There has long been automated technology for detecting text plagiarism, which is widely used, but identifying repeated use of images is much more challenging, especially since users often edit images using Photoshop, making it difficult to prevent. However, with the latest image recognition systems, scientists have … Read more
The full text is 8799 words, estimated reading time is about 25 minutes, recommended to save for later reading. Captcha codes inherently carry a layer of semantic meaning in the answers, which is a natural distinction between humans and automated programs. Regardless of the method used to crack the captcha, the answer must be identified. … Read more