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README.md
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@@ -82,6 +82,8 @@ Background false positives: 9 labeled as ball, 4 as strike_zone
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Performance Analysis
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The overall mAP@50 of 0.92 exceeds the 0.85 target and F1 of 0.91 clears the 0.80 threshold. Batter and pitcher detection is near-perfect, reflecting their large consistent silhouettes. Training and validation loss curves show steady convergence with no signs of overfitting.
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The ball class is the most critical failure point. A mAP@50 of 0.72 means roughly 1 in 4 pitches in flight is missed or incorrectly detected. Since ball is the most important class for pitch classification, this gap matters more than the strong overall score suggests. The strike_zone class achieved F1 = 0.88 despite having the fewest training instances, though its mAP@50 of 0.82 falls just short of target.
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5. Limitations and Biases
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Known Failure Cases
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Performance Analysis
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The overall mAP@50 of 0.92 exceeds the 0.85 target and F1 of 0.91 clears the 0.80 threshold. Batter and pitcher detection is near-perfect, reflecting their large consistent silhouettes. Training and validation loss curves show steady convergence with no signs of overfitting.
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The ball class is the most critical failure point. A mAP@50 of 0.72 means roughly 1 in 4 pitches in flight is missed or incorrectly detected. Since ball is the most important class for pitch classification, this gap matters more than the strong overall score suggests. The strike_zone class achieved F1 = 0.88 despite having the fewest training instances, though its mAP@50 of 0.82 falls just short of target.
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5. Limitations and Biases
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Known Failure Cases
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