Category: Technical
YOLOv8: State-of-the-Art Object Detection in Computer Vision
Introduction to Computer Vision and the YOLO Model Computer vision, a field of artificial intelligence, aims to give machines the ability to interpret and understand the visual world. It involves capturing, processing, and analyzing images or videos to automate tasks that the human visual system can do. This rapidly evolving field encompasses various applications, from […]
OCR algorithms: CTC explained
Introduction Connectionist Temporal Classification(CTC) Explained and RCNN + CTC based OCR Experiment Optical Character Recognition (OCR) refers to handwritten or printed text in a wide range of backgrounds (e.g. documents, photo of document, and other background scenes) stored in a digital format. The research of OCR has been a classical issue in Computer Vision and […]
Deep learning computer vison techniques to measure, read (OCR) and classify with no-code
In the realm of computer vision, deep learning has unleashed a revolution, transforming the way we detect and segment objects in images. This powerful branch of artificial intelligence has not only made object detection and segmentation more accurate but has also opened up new possibilities for text extraction through Optical Character Recognition (OCR) technology. With […]
How to Train a Convolutional Neural Network for Object Detection
Training a Convolutional Neural Network (CNN) for object detection can be a complex and daunting task, requiring a deep understanding of model architectures, data augmentation techniques, evaluation metrics, and hyperparameters. However, in this blog post, we aim to simplify the process for you by providing a comprehensive guide that covers the essential aspects of training […]