TrafficSignRecognition
deepstreet
| TrafficSignRecognition | deepstreet | |
|---|---|---|
| 1 | 1 | |
| 42 | 72 | |
| - | - | |
| 10.0 | 10.0 | |
| about 7 years ago | almost 2 years ago | |
| Jupyter Notebook | Python | |
| - | MIT License |
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TrafficSignRecognition
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Need help with a project!!
https://github.com/vamsiramakrishnan/TrafficSignRecognition https://github.com/surmenok/GTSRB/blob/master/german-traffic-signs.ipynb https://github.com/alessiamarcolini/deepstreet https://github.com/JamesLuoau/Traffic-Sign-Recognition-with-Deep-Learning-CNN https://github.com/wolfapple/traffic-sign-recognition https://github.com/hellojialee/Traffic_Sign_Recognition_Efficient_CNN
deepstreet
-
Need help with a project!!
https://github.com/vamsiramakrishnan/TrafficSignRecognition https://github.com/surmenok/GTSRB/blob/master/german-traffic-signs.ipynb https://github.com/alessiamarcolini/deepstreet https://github.com/JamesLuoau/Traffic-Sign-Recognition-with-Deep-Learning-CNN https://github.com/wolfapple/traffic-sign-recognition https://github.com/hellojialee/Traffic_Sign_Recognition_Efficient_CNN
What are some alternatives?
GTSRB - Convolutional Neural Network for German Traffic Sign Recognition Benchmark
Traffic_Sign_Recognition_Efficient_CNNs - A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"
traffic-sign-recognition - Built and trained a deep neural network to classify traffic signs, using PyTorch. The highlights of this solution would be data preprocessing, trained with heavily augmented data and using Spatial Transformer Network.
Traffic-Sign-Recognition-with-Deep-Learning-CNN - Traffic Sign Recognition with Deep Learning CNN
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.