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GitHub / anantSinghCross / pothole-detection-system-using-convolution-neural-networks

Real-time detection of potholes on roads using video (via Webcam) processed through a CNN model.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anantSinghCross%2Fpothole-detection-system-using-convolution-neural-networks

Stars: 36
Forks: 23
Open issues: 2

License: mit
Language: Python
Size: 204 MB
Dependencies parsed at: Pending

Created at: over 5 years ago
Updated at: over 1 year ago
Pushed at: over 4 years ago
Last synced at: over 1 year ago

Commit Stats

Commits: 22
Authors: 1
Mean commits per author: 22.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/anantSinghCross/pothole-detection-system-using-convolution-neural-networks

Topics: cnn-classification, cnn-keras, cnn-model, convolutional-neural-networks, dataset, detecting-potholes, machine-learning, neural-networks, opencv, pothole-detector, prediction, python3, real-time, realtime, roads

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