This project implements an end-to-end object detection workflow using Faster R-CNN, leveraging DVC for reproducible data versioning and automated pipeline orchestration. Training progress and model metrics are visualized through TensorBoard to ensure optimal performance, while the final model is deployed via FastAPI for high-performance inference.