Image classification is a popular application of machine learning that involves training a model to recognize and categorize images based on their visual features. However, one of the biggest challenges in image classification is preparing a large dataset of images that can be used to train and test the model. In this article, we will provide a step-by-step guide on preparing large image datase...

Stable Diffusion is a machine learning technique that generates high-quality images by predicting the next pixel in an image based on the previous pixels. This technique is based on the concept of diffusion, which is the process by which particles spread out over time. Stable Diffusion uses a diffusion model to predict the next pixel in an image based on the previous pixels. In this guide,IR...

Quality data has always been the cornerstone of many breakthroughs in the AI world, especially in image processing. And at the heart of this data-centric evolution are image annotation tools, indispensable for refining our algorithms. Selecting the right tool can make the difference between a model that merely functions and one that excels. I’ve undertaken a comprehensive review of the...

Video recognition, or video analytics, is a technology that automatically analyzes video feeds to recognize temporal and spatial events. It leverages machine learning algorithms to ‘understand’ the content of video data. This often includes identifying objects, people, text, and even specific actions or behavior. Now, let’s look at a related concept: image and video rec...