ultralytics/yolo-flutter-app
Apr 2026 – Apr 2026
1 Month active
Languages Used
DartKotlinSwift
Technical Skills
API integrationFluttermachine learningmobile development
Minamiya Natsuki
PROFILE
Minamiya Natsuki
YukihiraType2 developed oriented bounding box angle support for the ultralytics/yolo-flutter-app repository, enabling rotated object detection within Flutter-based YOLO integrations. By extending the platform’s API responses to include angle data, YukihiraType2 allowed downstream applications to interpret and utilize orientation information for detected objects. The implementation involved updates in Dart and Flutter, with careful attention to API integration and machine learning workflows. Documentation and usage examples were revised to accurately reflect the new angle data, streamlining onboarding for other developers. The work demonstrated a focused, well-scoped feature addition, addressing a specific need for enhanced detection capabilities without introducing unnecessary complexity.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
134
Activity Months1
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly performance summary for ultralytics/yolo-flutter-app. Delivered oriented bounding box (OBB) angle support in YOLO platform responses, enabling rotated object detection within Flutter integrations. Updated docs and usage examples to reflect angle data, reducing onboarding time and configuration friction for developers. The work included a documentation-focused fix to the usage example, ensuring accurate representation of angle data in platform responses.
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly performance summary for ultralytics/yolo-flutter-app. Delivered oriented bounding box (OBB) angle support in YOLO platform responses, enabling rotated object detection within Flutter integrations. Updated docs and usage examples to reflect angle data, reducing onboarding time and configuration friction for developers. The work included a documentation-focused fix to the usage example, ensuring accurate representation of angle data in platform responses.
April 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
DartKotlinSwift
Technical Skills
API integrationFluttermachine learningmobile development
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