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GitHub / kiritoInd / Autonomous-Driving-Object-Detection

The ideas and methodologies implemented in this project are inspired by YOLO (You Only Look Once) version 8, a state-of-the-art object detection model known for its speed and accuracy. The system leverages YOLOv8 to detect and classify objects on the road

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kiritoInd%2FAutonomous-Driving-Object-Detection

Stars: 2
Forks: 0
Open issues: 0

License: mit
Language: Jupyter Notebook
Size: 43.9 MB
Dependencies parsed at: Pending

Created at: about 1 year ago
Updated at: 11 months ago
Pushed at: about 1 year ago
Last synced at: 3 months ago

Topics: algorithms, bounding-boxes, convolutional-neural-networks, neural-network, nonmaxima-suppression, object-detection, python3, tensorflow, unet, yolo

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