traffic-signs and Traffic-Sign-Detection-Using-CNN
These two tools are competitors, as both aim to build a CNN-based traffic sign classifier using TensorFlow and Keras, offering alternative implementations for the same core task.
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
23/25
Maintenance
0/25
Adoption
3/25
Maturity
9/25
Community
12/25
Stars: 150
Forks: 73
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 4
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m
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Stale 6m
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About traffic-signs
alexstaravoitau/traffic-signs
Building a CNN based traffic signs classifier.
About Traffic-Sign-Detection-Using-CNN
MustafaBanatwala04/Traffic-Sign-Detection-Using-CNN
An application built with TensorFlow and Keras for traffic sign detection. Utilizes Convolutional Neural Networks (CNNs) to accurately identify and classify traffic signs from images. Achieved an accuracy of 98.89% on the test dataset. Simply upload images to classify traffic signs. Contributions welcome!
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