Vehicle-Detection-and-Counter-using-Yolo11 and vehicle-counting-using-python-yolo

Both projects are competitors offering similar vehicle detection and counting functionalities, primarily differing in their specific YOLO versions and implementation details for handling traffic scenarios.

Maintenance 2/25
Adoption 6/25
Maturity 16/25
Community 15/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 18/25
Stars: 23
Forks: 5
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 39
Forks: 13
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Vehicle-Detection-and-Counter-using-Yolo11

SrujanPR/Vehicle-Detection-and-Counter-using-Yolo11

This project implements vehicle detection and counting using YOLOv11 and OpenCV. It processes a video file to track and count vehicles that cross a predefined red line, providing real-time visualizations of the detections and counts.

This project helps traffic engineers or urban planners automatically count vehicles in video footage. You provide a video file of traffic, and it processes each frame to detect vehicles and counts how many cross a specified line. The output is a new video file with overlaid visualizations of detected vehicles and their real-time counts, helping you analyze traffic flow.

traffic-monitoring urban-planning transportation-analysis video-surveillance vehicle-counting

About vehicle-counting-using-python-yolo

bamwani/vehicle-counting-using-python-yolo

Vehicle counting in a conjusted traffic road where background subtraction gives lower performance.

This tool helps traffic engineers and urban planners automatically count vehicles in crowded traffic videos. You provide a video recording of traffic, and it outputs a new video with detected vehicles highlighted and a running count. This is ideal for monitoring traffic flow and analyzing road usage patterns.

traffic-management urban-planning transportation-analytics traffic-monitoring

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