
Worked on the ultralytics/yolo-flutter-app repository, delivering two core features focused on Android build optimization and segmentation support. Addressed mobile app efficiency by removing the tensorflow-lite-select-tf-ops dependency, updating pubspec.lock, and introducing a proguard-rules.pro file to streamline the build process and reduce binary size. Developed segmentation capabilities by adding a new C++ segmentation processing file, integrating it with the CMake build system, and updating the TFLiteDetector to support on-device image segmentation. Utilized C++, Kotlin, and Flutter to enhance computer vision functionality, laying a foundation for future segmentation workloads while maintaining robust dependency management and build stability.
May 2025 performance snapshot: Delivered key platform enhancements for ultralytics/yolo-flutter-app, focusing on reducing app size, tightening dependencies, and enabling segmentation capabilities. Strengthened build stability, reduced binary footprint, and laid groundwork for on-device segmentation workloads.
May 2025 performance snapshot: Delivered key platform enhancements for ultralytics/yolo-flutter-app, focusing on reducing app size, tightening dependencies, and enabling segmentation capabilities. Strengthened build stability, reduced binary footprint, and laid groundwork for on-device segmentation workloads.

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