roboflow/supervision
Jul 2025 – Jul 2025
1 Month active
Languages Used
Python
Technical Skills
Code RefactoringComputer VisionData AnalysisData EvaluationDebuggingDocumentation
Balthasar
PROFILE
Balthasar
During July 2025, Balthasar enhanced the Mean Average Precision (mAP) metric in the roboflow/supervision repository, focusing on improving model evaluation accuracy and reliability. He implemented robust area handling by prioritizing the COCO area property and ensured annotation IDs started from one for consistency. His work addressed edge cases such as invalid scores and empty predictions, increasing the metric’s resilience. Balthasar also developed a dedicated average precision helper and expanded the test suite, emphasizing maintainability through code refactoring and documentation. Leveraging Python and his expertise in computer vision and testing, he delivered a deeper, more trustworthy evaluation pipeline for object detection models.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
1
Lines of code
885
Activity Months1
Your Network
42 people
Work History
July 2025
10 Commits • 1 Features
Jul 1, 2025July 2025: Key focus on improving the Mean Average Precision (mAP) metric in roboflow/supervision. Delivered robust area handling, correct annotation ID sequencing, and handling for invalid scores and empty predictions. Implemented an average precision helper and expanded test coverage. Resulting in more accurate and reliable model evaluation and higher confidence in model selection.
10 Commits • 1 Features
Jul 1, 2025July 2025: Key focus on improving the Mean Average Precision (mAP) metric in roboflow/supervision. Delivered robust area handling, correct annotation ID sequencing, and handling for invalid scores and empty predictions. Implemented an average precision helper and expanded test coverage. Resulting in more accurate and reliable model evaluation and higher confidence in model selection.
July 2025
Activity
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Quality Metrics
Correctness97.0%
Maintainability96.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code RefactoringComputer VisionData AnalysisData EvaluationDebuggingDocumentationMachine LearningMetrics CalculationObject DetectionPythonTesting
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