Overview

Built computer vision solutions for railway transportation analytics, aligned with logistics requirements and operational constraints.

What I did

  • Defined logistics-oriented requirements for vision-driven railway analytics.
  • Designed and refined object detection training workflows.
  • Tuned model architectures and data preparation strategy for robust deployment.

Impact

  • Improved object detection performance by more than 2× through pipeline, architecture, and augmentation refinements.
  • Established a practical analytics foundation for real-world railway monitoring workflows.

Tech

Computer Vision · Object Detection · Model Training · Dataset Augmentation · Python

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