GTSRB
deepstreet
GTSRB | deepstreet | |
---|---|---|
1 | 1 | |
108 | 69 | |
- | - | |
10.0 | 10.0 | |
almost 2 years ago | over 1 year ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
GTSRB
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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?
SkinDeep - Get Deinked!!
TrafficSignRecognition - A Deep Neural Network to do traffic sign recognition
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.
Super-Cars-VS-SUVs - This is a deep neural network that looks at an images of cars and then classify them as suv and supercars
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]
Traffic_Sign_Recognition_Efficient_CNNs - A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"
glasses - High-quality Neural Networks for Computer Vision 😎
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
CNN-Filter-DB - A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)
Traffic-Sign-Recognition-with-Deep-Learning-CNN - Traffic Sign Recognition with Deep Learning CNN