TrafficSignRecognition
GTSRB
| TrafficSignRecognition | GTSRB | |
|---|---|---|
| 1 | 1 | |
| 42 | 108 | |
| - | - | |
| 10.0 | 10.0 | |
| about 7 years ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | 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
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
What are some alternatives?
deepstreet - Traffic Sign Recognition - Fine tuning VGG16 + GTSRB
SkinDeep - Get Deinked!!
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-with-Deep-Learning-CNN - Traffic Sign Recognition with Deep Learning CNN
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
glasses - High-quality Neural Networks for Computer Vision 😎
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)
Captcha-Breaker-project - Recognition of Text-Captcha images, and analysis of breaking it with various techniques
analytics-zoo - Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray
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.