Image segmentation is a core vision problem that can provide a solution for a large number of use cases. Starting from medical imaging to analyzing traffic, it has immense potential. Instance ...
Developing a new YOLO-based architecture can redefine state-of-the-art (SOTA) object detection by addressing the existing limitations and incorporating recent advancements in deep learning. Deep ...
In this post, we will learn how to perform object detection with TensorFlow Hub pre-trained models. TensorFlow Hub is a library and platform designed for sharing, discovering, and reusing pre-trained ...
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 ...
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 ...
Controlnet - Stable Diffusion models and their variations are great for generating novel images. But most of the time, we do not have much control over the generated images. Img2Img lets us control ...
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