TrOCR (Transformer based Optical Character Recognition) models are some of the best performing OCR models. In our previous article, we analyzed how well they perform on single line printed and ...
Optical Character Recognition (OCR) has seen several innovations over the years. Its impact on retail, healthcare, banking, and many other industries has been immense. Despite a long history and ...
Facial Emotion Recognition (FER) refers to the process of identifying and categorizing human emotions based on facial expressions. By analyzing facial features and patterns, machines can make educated ...
In the constantly evolving field of computer vision, understanding the precise structure and pose of objects is essential. Whether it's detecting a specific object in a cluttered scene or analyzing ...
Tracking is one of the most important components in object detection when it comes to real-world applications. Applications like real-time surveillance and autonomous driving systems cannot reach ...
Introduction Welcome to our latest series of blog posts about artificial intelligence (AI) and machine learning (ML)! Whether you're a beginner dipping your toes into the AI pool for the first time ...
Empowering innovation through education, LearnOpenCV provides in-depth tutorials, code, and guides in AI, Computer Vision, and Deep Learning. Led by Dr. Satya Mallick, we're dedicated to nurturing a community keen on technology breakthroughs.
