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Helmet View Tracking Correction Data
Data Science and Analytics
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Free
About
This hand-annotated dataset details NLF Helmet Safety Camera Rotations, providing precise camera positions relative to accompanying tracking data. The core value of the product is the specific angle of rotation required to align the video image with the corresponding tracking data. A critical note for usage is that tracking data uses a positive y-axis from bottom to top, which is the inverse of how images are structured; therefore, the y-coordinate for the tracking data must be flipped for accurate matching.
Columns
- play: A unique identifier for specific game plays (60 unique values).
- Sideline: The angle of rotation applicable to the video captured from the Sideline View (ranging between 0 and 180 degrees).
- Endzone: The angle of rotation applicable to the video captured from the Endzone View (ranging between -90 and 90 degrees).
Distribution
The data is delivered as a tabular file in CSV format, specifically
NFL-rotations-plays.csv, with a small file size of 1.23 kB. It comprises 3 columns and 60 valid records. The dataset is static, with an expected update frequency of "Never."Usage
This data product is suited for applications requiring high-precision alignment between visual footage and accompanying motion tracking information. Ideal use cases include developing and validating computer vision algorithms, conducting detailed sports analytics that require rotational correction, and enhancing safety research by accurately mapping helmet angles to tracking points.
Coverage
The dataset covers 60 distinct unique game plays. The scope focuses strictly on the rotational data captured during these plays and does not include explicit geographic, temporal, or demographic dimensions.
License
CC0: Public Domain
Who Can Use It
- Sports Technologists: For building models that normalize camera perspectives across various video feeds.
- Academic Researchers: Focusing on biomechanics and athlete safety, requiring accurate angular measurements for position reconciliation.
- Data Analysts: Requiring precise alignment data to reconcile position tracking systems with visual evidence of play.
Dataset Name Suggestions
- NFL Camera Alignment Rotations
- Helmet View Tracking Correction Data
- Safety Camera Play Rotations
- NLF Rotational Tracking Data
Attributes
Original Data Source: Helmet View Tracking Correction Data
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