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.
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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.
Smart Parking System to detect open parking space and sending the information via telegram. Built using matterport MRCNN to detect the car then compute it using IoU method to determine the open parking space.
Real-time parking lot monitoring system using YOLOv5 object detection to count and track parked vehicles within designated areas.
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+.
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