Estimate hand pose from an RGB image
Small Space to test ViTPose
Generate dance pose video from aligned pose
Testing Human Stance detection
Visualize pose-format components and points.
Create a video using aligned poses from an image and a dance video
Estimate human poses in images
Detect 3D object poses in images
A visual scorer of two dance videos
Detect and estimate human poses in images
Detect objects and poses in images
Analyze images to detect human poses
Upload and verify front, side, and back pose images
SAR is an AI-powered application designed for hand pose estimation. It leverages advanced algorithms to analyze RGB images and accurately identify and estimate hand poses in real-time. SAR is primarily used in applications requiring precise hand tracking, such as gesture recognition, human-computer interaction, and augmented reality.
• Real-Time Hand Pose Estimation: Quickly processes and analyzes RGB images to detect hand poses.
• High Accuracy: Utilizes state-of-the-art AI models for precise hand pose tracking.
• Support for Multiple Platforms: Compatible with various devices, including smartphones, tablets, and computers.
• Customizable Models: Allows users to train or fine-tune models for specific use cases.
• User-Friendly Interface: Intuitive design for easy integration into existing applications or workflows.
What types of images does SAR support?
SAR supports standard RGB images in formats like JPG, PNG, and BMP. Ensure the image is clear and well-lit for optimal results.
Can SAR be used for real-time applications?
Yes, SAR is optimized for real-time hand pose estimation, making it suitable for applications like gesture recognition and interactive systems.
How accurate is SAR?
SAR achieves high accuracy using cutting-edge AI models, but accuracy may vary based on image quality and environmental conditions.