pklot

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oguzhanhekimoglu / SmartPark-VLM-YOLO

Streamlit app comparing VLM-only, YOLO-only, and hybrid approaches for parking-lot occupancy detection on the same image. Built with YOLO26 (PKLot) + NVIDIA LocateAnything-3B.

python computer-vision deep-learning pytorch yolo object-detection vlm smart-parking streamlit parking-detection vision-language-model pklot

Updated Jul 4, 2026
Jupyter Notebook

guptadhruv-dev / parking-occupancy-supervision-study

Star

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.

python computer-vision deep-learning hpc pytorch supervised-learning resnet clip indiana-university few-shot-learning dataset-quality parking-occupancy pklot

Updated Apr 6, 2026
Python

mauroleme / Computer-Vision

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Parking space occupancy classifier using classical computer vision (GLCM, Sobel, Prewitt, Harris corners). Per-park calibration with majority voting. 89–92% accuracy on PKLot dataset. No deep learning. Interactive Tkinter demo included.

python computer-vision image-processing scikit-image feature-extraction classification tkinter parking-lot pklot

Updated Jun 14, 2026
Python

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