Optical Character Recognition (OCR) is a powerful technology that converts images of text into machine-readable content. With the growing need for automation in data extraction, OCR tools have become an essential part of many applications, from digitizing documents to extracting information from scanned images. In this tutorial, we will build an OCR app that runs… →
In this article, we explore different methods for detecting text in images using OpenCV’s built-in models and discuss text removal techniques using image inpainting. OpenCV, one of the most powerful and widely used open-source computer vision libraries, provides several deep-learning-based models for text detection, including EAST, DB50, and DB18. We will compare the performance of… →
Artificial Neural Networks (ANNs) have revolutionized computer vision with great performance, but their “black-box” nature creates significant challenges in domains requiring transparency, accountability, and regulatory compliance. The opacity of these systems hampers their adoption in critical applications where understanding decision-making processes is essential. Scientists are curious to understand these models’ internal mechanisms and want to… →
Stereo depth estimation plays a crucial role in computer vision by allowing machines to infer depth from two images. This capability is vital for autonomous driving, robotics, and augmented reality applications. Despite advancements in deep learning, many existing stereo-matching models require domain-specific fine-tuning to achieve high accuracy. The challenge lies in developing a model that… →
Modern VLMs struggle with tasks requiring complex visual reasoning, where understanding an image alone is insufficient, and deeper interpretation is needed. While recent advancements in LLMs have significantly improved text-based reasoning, similar progress in the visual domain remains limited. Existing VLMs often fail when required to combine visual and textual cues for logical deductions, highlighting… →
To evaluate the comparative efficacy of Ticagrelor and Clopidogrel in treating patients with coronary heart disease and unstable angina, as well as their effects on serum inflammatory factors, thereby providing a solid foundation for future clinical diagnosis and treatment. The frequency of angina attacks in the Ticagrelor group was lower than in the Clopidogrel group… →
LLMs are widely used for conversational AI, content generation, and enterprise automation. However, balancing performance with computational efficiency is a key challenge in this field. Many state-of-the-art models require extensive hardware resources, making them impractical for smaller enterprises. The demand for cost-effective AI solutions has led researchers to develop models that deliver high performance with… →