A model for Precise Ice Hockey Rink Keypoint detection
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HockeyRink is an advanced pose estimation model designed specifically for detecting key points on ice hockey rinks. It leverages cutting-edge AI technology to provide precise and accurate keypoint detection from uploaded images, making it a valuable tool for sports analytics, training, and automation.
• Keypoint Detection: Identifies critical points on the hockey rink, such as goal posts, face-off circles, and penalty boxes.
• AI-Powered Accuracy: Utilizes state-of-the-art algorithms to ensure high precision in keypoint detection.
• Customizable: Can be fine-tuned for specific use cases, such as training videos or live game analysis.
• Image Compatibility: Works seamlessly with various image formats and resolutions.
• Real-Time Visualization: Provides clear and intuitive visualizations of detected keypoints.
What keypoints does HockeyRink detect?
HockeyRink detects critical locations such as goal nets, face-off circles, blue lines, and penalty boxes.
Can HockeyRink work with live video feeds?
While primarily designed for images, HockeyRink can be integrated with live video feeds with additional processing.
What file formats does HockeyRink support?
HockeyRink supports standard image formats, including JPG, PNG, and BMP.