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parking-occupancy

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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 493,654 parking space crops, with dataset annotation error discovery. Trained on NVIDIA A100 via IU Big Red 200.

  • Updated Apr 6, 2026
  • Python

社区智能巡检:浏览器内运行 D-FINE-N 目标检测与 DINOv2 车位占用分类,场景规则、事件合并、人工复核与交班交接。In-browser computer vision for property inspection: object detection, parking occupancy, human review. No backend · simulated shift data is synthetic · real-site accuracy not yet validated

  • Updated Nov 2, 2026
  • JavaScript

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