TennisFlow publishes its AI performance data transparently. Instead of vague claims like “AI-powered,” we show measurable results for our models on a validated dataset.
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AI Model Performance
Structured results of the current TennisFlow models on the internal validation dataset.
TennisFlow AI results on the internal validation dataset.
Task
Metric
Result
Stroke Detection
Precision
97.66 %
Stroke Detection
Recall
97.73 %
Stroke Detection
F1 Score
97.70 %
Stroke Type Classification
Accuracy
99.9 %
Stroke Detail Classification
Accuracy
95.9 %
The results are measured on TennisFlow’s internal validation dataset using manually annotated ground-truth data.
Why do we publish our AI metrics?
Many apps promote “AI” without making its quality measurable. At TennisFlow, we want to be transparent. That is why we regularly publish the performance data of our AI models and document their progress with every release.
Release Notes
Chronological overview of app versions – newest first.
Version 1.2.3
Multiple player profiles per account – ideal for families and coaches