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GitHub / himol7 / Traffic-Sign-Detection-and-Classification-Under-Challenging-Conditions

To develop a framework to detect and recognize traffic signs under various challenging conditions. Detection of sign contours, tracking of signs using dense optical flow and employing CNN like LeNet for recognition of the sign.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/himol7%2FTraffic-Sign-Detection-and-Classification-Under-Challenging-Conditions

Fork of shivamraval98/Traffic-Sign-Detection-and-Classification-Under-Challenging-Conditions
Stars: 4
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 50.5 MB
Dependencies parsed at: Pending

Created at: over 6 years ago
Updated at: over 2 years ago
Pushed at: over 6 years ago
Last synced at: about 2 years ago

Topics: cnn, computer-vision, optical-flow, traffic-sign-classification, traffic-sign-detection

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