Visualizing training data is often essential to design a good Machine Learning model. However, generally feature dimensions are much more than three. So to get visual insight, dimensionality reduction ...
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CenterNet: Objects as Points – Anchor Free Object Detection Explained
Anchor free object detection is powerful because of its speed and generalizability to other computer vision tasks. "CenterNet: Object as Points" is one of the milestones in the anchor-free object ...
YOLOv6 Object Detection – Paper Explanation and Inference
YOLO models have become ubiquitous in the world of deep learning, computer vision, and object detection. If you are working on object detection, then there is a high chance that you have used one of ...
YOLOX Object Detector Paper Explanation and Custom Training
What is YOLOX? YOLOX is a single-stage real-time object detector. It was introduced in the paper YOLOX: Exceeding YOLO Series in 2021. The baseline model of YOLOX is YOLOv3 SPP with Darknet53 ...
Driver Drowsiness Detection Using Mediapipe In Python
According to CDC, "An estimated 1 in 25 adult drivers (18 years or older) report falling asleep while driving…". The article reports, “...drowsy driving was responsible for 91,000 road accidents…”. To ...
Deep Learning and Computer Vision Demos
Explore the demos of the various Computer Vision and Deep Learning applications developed at LearnOpenCV ...
