YOLO-NAS Pose models is the latest contribution to the field of Pose Estimation. Earlier this year, Deci garnered widespread recognition for its groundbreaking object detection foundation model, ...
Animal Pose Estimation: Fine-tuning YOLOv8 Pose Models
Animal pose estimation is an area of research within computer vision, a subfield of artificial intelligence, focused on automatically detecting and analyzing the postures and positions of animals in ...
PaddlePaddle: Exploring Object Detection, Segmentation, and Keypoints
PaddlePaddle: Welcome to our guide of machine learning frameworks, where we'll examine PaddlePaddle, TensorFlow, and PyTorch. Recent benchmark tests have revealed PaddlePaddle as a potential ...
AI Fitness Trainer – Build Using MediaPipe For Squat Analysis
This article aims to build an AI fitness trainer that can help you perform squats seamlessly, irrespective of whether you are a beginner or a pro. To achieve this task, we can harness the power of a ...
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 ...
YOLOv7 Pose vs MediaPipe in Human Pose Estimation
YOLOv7 Pose was introduced in the YOLOv7 repository a few days after the initial release in July ‘22. It is a single-stage, multi-person pose estimation model. YOLOv7 pose is unique, as it deviates ...