Train a small CNN to regress a rotated bounding box

A practical round in an existing ML project. Get a compact convolutional network running that predicts one rotated (oriented) bounding box per image, implement the IoU between two rotated boxes to measure it, then run and compare a few model variants while staying under a fixed parameter budget, and explain which one you would keep and why.