During February 2025, the developer enhanced the axinc-ai/ailia-models repository by implementing flexible output exporting for Detic object detection results. They introduced a command-line argument to select between text and JSON formats, and developed a dedicated JSON writer to handle serialization. Using Python, they ensured that prediction scores are saved as floats and bounding box coordinates as integers, improving data consistency for downstream analytics. Their work involved command-line argument parsing, data serialization, and file I/O, addressing both feature development and a bug fix. The changes increased the reliability and integration readiness of Detic outputs, demonstrating solid engineering depth within a focused scope.