Testing Human Stance detection
Create a video using aligned poses from an image and a dance video
Duplicate this leaderboard to initialize your own!
Detect 3D object poses in images
Estimate human poses in images
Small Space to test ViTPose
Showcasing Yolo, enabling human pose detection
Detect and estimate human poses in images
Detect and annotate poses in images
Analyzez une vidรฉo de danse et affichez les poses 3D
Analyze workout posture in real-time
Combine and match poses from two videos
Estimate camera poses from two images
Stance Detection is a sophisticated pose estimation tool designed to detect and annotate human poses in images and videos. It allows users to analyze body postures, track movements, and identify specific stances in real-time or pre-recorded content. This technology is particularly useful for applications in sports analysis, fitness training, and healthcare, where understanding human movement is critical.
What file formats does Stance Detection support?
Stance Detection supports JPEG, PNG, MP4, and AVI formats for images and videos.
Can Stance Detection work in real-time?
Yes, Stance Detection can analyze live video feeds, making it suitable for real-time applications like sports analytics.
How accurate is Stance Detection?
Stance Detection offers high accuracy, even in complex scenes, but accuracy may vary based on input quality and lighting conditions.