This project provides the first publicly available long-distance abnormal parking dataset. It contains 1,000 video sequences, including 200 abnormal videos and 800 normal videos.
-
Updated
Sep 24, 2025 - Python
This project provides the first publicly available long-distance abnormal parking dataset. It contains 1,000 video sequences, including 200 abnormal videos and 800 normal videos.
Parkit is an intelligent parking detection system that uses YOLOv8 deep learning model to detect motorcycles and calculate available parking spaces in real-time
AI-powered parking space detection using YOLOv8 and OpenCV. Identifies empty or occupied spots from images or video, supports interactive region selection, real-time detection, and auto-generated analytics reports. Suitable for smart parking systems, academic work, and computer vision learning. Python 3.8+.
Add a description, image, and links to the parking-detection topic page so that developers can more easily learn about it.
To associate your repository with the parking-detection topic, visit your repo's landing page and select "manage topics."