Body management is desired yet hard. Knowing how much the daily take-in is can also be a challenge. Read on to use ML tech to overcome these challenges.

Annotating images for machine learning has its main objective of giving context to the AI during image processing so that it can comprehend itself.

Working with images is more and more popularized; we are going to take dive into this field, first with the basics and starting with an open CV library.

We’ll show you how to programmatically optimize and standardize user-generated images for better web performance, design consistency, and credibility.

With the ControlNet-Hough model, you can transform your images easily and effectively.

Harvesting prompts from images with a simple API call and a bit of Node.js.

Understanding the practical uses, strengths, and distinct characteristics of two top-tier image-to-text models.

When visualizing the inner workings of vision transformers (ViTs), researchers noticed weird spikes of attention on random background patches.

A dive into developing an image recognition app without using neural networks

OCR solutions don't work — at least when it comes to complex documents. Learn how you can supercharge OCR tools wqith AI to handle any document