Whenever you're ready, walk me through how you'd approach this.
Can you explain the trade-offs between different architectures for object detection and semantic segmentation?
Discuss and implement representative two-stage, one-stage, and segmentation architectures. Compare accuracy, localization quality, boundary quality, latency, memory usage, training complexity, robustness to object scale, and suitability for deployment. Use a held-out evaluation set and explain how the preferred architecture would change under different compute and safety requirements.