Kunal Dawn
U2-Net (popularly known as U2-Net) is a simple yet powerful deep-learning-based semantic segmentation model that revolutionizes background removal in image segmentation. Its effective and straightforward approach is crucial for applications
With millions of trainable parameters, neural networks have long been considered black boxes. They can produce stunning results, and we often accept the output with very little understanding as to
This article is a continuation of our series of articles on KerasCV. The previous article discussed fine-tuning the popular DeeplabV3+ model for semantic segmentation. In this article, we will shift
Fine-tuning DeepLabv3+ from KerasCV for Semantic Segmenation
In this article, fine-tune the YOLOv8 Pose model for Animal Pose Estimation.
In the constantly evolving field of computer vision, understanding the precise structure and pose of objects is essential. Whether it’s detecting a specific object in a cluttered scene or analyzing
Weighted box fusion: The post-processing step is a trivial yet important component in object detection. In this article, we will demonstrate the significance of Weighted Boxes Fusion (WBF) as opposed
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
Build an AI fitness trainer application that analyzes squats using MediaPipe’s Pose solution and prompts appropriate feedback.
