Foundation models in Artificial Intelligence are becoming increasingly important. The term started picking up pace in the field of NLP and now, with the Segment Anything Model, they are slowly getting ...
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Build a Video to Slides Converter Application using the Power of Background Estimation and Frame Differencing in OpenCV
This blog post will aim to build a simple video to slides converter application to obtain slide images given slide or lecture videos using basic frame differencing and background subtraction ...
A Closer Look at CVAT: Perfecting Your Annotations
The backbone of every computer vision application is the data used. The quality of data determines how good the final application will perform. It is needless to say that sometimes we need to collect ...
OpenCV Face Recognition – Does Face Recognition Work on AI-Generated Images?
As artificial intelligence (AI) technology advances, so does the ability to generate incredibly realistic computer-generated images. This raises an important question: can facial recognition ...
Top 10 AI Art Generation Tools using Diffusion Models
Last year saw tremendous innovation in AI image generation. Diffusion models for image generation, and AI Art Generation, in particular, have taken the world by storm. Not just the AI and ML ...
The Future of Image Recognition is Here: PyTorch Vision Transformers
Welcome to the second part of our series on vision transformer. In the previous post, we introduced the self-attention mechanism in detail from intuitive and mathematical points of view. We also ...