Custom Keras CNN project for detecting free parking spots in images and videos, with annotated ROI coordinates, trained empty/occupied classifier, and visual prediction outputs.

How much labeled data do you actually need to deploy a parking occupancy system at a never-before-seen lot? A supervision study spanning CLIP zero-shot → ResNet-18 few-shot → full supervision on 432k parking space crops, with dataset annotation error discovery. Trained on NVIDIA A100 via IU Big Red 200.