metadata
license: mit
Hockey Rink Keypoint Detection Dataset
🔗 This dataset is part of the HockeyRink ecosystem.
- 💻 Check out the corresponding Hugging Face Space for a live demo: https://huggingface.co/spaces/SimulaMet-HOST/HockeyRink
- 🏒 The trained model for this dataset is available here: https://huggingface.co/SimulaMet-HOST/HockeyRink
This repository contains a dataset for detecting and mapping keypoints on ice hockey rinks. The dataset contains 661 high resolution frames from SHL in 1920*1080.
Features
- Accurate detection of 56 keypoint landmarks on hockey rinks
- Support for various camera angles and lighting conditions
- Handles player occlusions and dynamic game situations
- Trained on diverse SHL (Swedish Hockey League) game footage
Applications
- Camera calibration and homography estimation
- 2D/3D scene mapping
- Player tracking and analysis
- Broadcast overlay generation
- Game analytics and statistics
- AR/VR applications
Technical Notes
- Visibility flags for occluded keypoints (0: not present, 1: occluded, 2: visible)
📩 For any questions regarding this project, or to discuss potential collaboration and joint research opportunities, please contact:
- Mehdi Houshmand: mehdi@forzasys.com
- Cise Midoglu: cisemidoglu@gmail.com
- Pål Halvorsen: paalh@simula.no