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license: mit
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license: mit
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Strike Zone Detection Model
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By Taiko IbukiArchitecture: YOLOv8-medium (yolov8m)
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Task: Object Detection 4 classes: ball, batter, pitcher, strike_zone
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1. Model DescriptionThis object detection model identifies and localizes key elements of a baseball pitch to automate ball-strike calls. Using YOLOv8, this model fine-tunes a previously trained dataset from Roboflow to fit four classes: ball, batter, pitcher, and strike_zone. This model is intended to help objectively evaluate pitch calls and can be used for broadcast overlay systems or umpire analytics platforms.ParameterValueArchitectureYOLOv8-medium (yolov8m)Training basisFine-tuned from ROBO ump (Roboflow Universe)TaskObject detection (4 classes)Target mAP@50> 0.85Achieved mAP@500.92Intended use cases:
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Broadcast overlay systems displaying a real-time model-driven strike zone visualization
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Umpire analytics platforms comparing model calls vs. official calls per game
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Research and development for automated ball-strike officiating systems
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