GitHub / Keval10github / Vehicle-Detection
This vehicle identification project utilizes the YOLOv5 deep learning model for detecting and classifying vehicles from images, videos, and live streams. It supports real-time inference, saving outputs with bounding boxes, confidence scores, and class labels, making it ideal for traffic monitoring and smart surveillance systems.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Keval10github%2FVehicle-Detection
PURL: pkg:github/Keval10github/Vehicle-Detection
Stars: 0
Forks: 0
Open issues: 0
License: gpl-3.0
Language: Python
Size: 670 KB
Dependencies parsed at: Pending
Created at: 9 months ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago
Topics: automated-labelling, computer-vision, data-augmentation, deep-learning, image-processing, model-inference, non-maximum-suppression, object-detection, pytorch, real-time-detection, smart-surveillance, tensorflow-lite, traffic-monitoring, vehicle-detection, video-processing, yolov3, yolov5