GTSRB
CNN-Filter-DB
GTSRB | CNN-Filter-DB | |
---|---|---|
1 | 1 | |
108 | 28 | |
- | - | |
10.0 | 2.2 | |
almost 2 years ago | 10 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Creative Commons Attribution Share Alike 4.0 |
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
-
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
CNN-Filter-DB
-
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters (CVPR 2022 Oral)
Repo & dataset: https://github.com/paulgavrikov/CNN-Filter-DB
What are some alternatives?
SkinDeep - Get Deinked!!
Food-Recipe-CNN - food image to recipe with deep convolutional neural networks.
TrafficSignRecognition - A Deep Neural Network to do traffic sign recognition
AI-For-Beginners - 12 Weeks, 24 Lessons, AI for All!
deepstreet - Traffic Sign Recognition - Fine tuning VGG16 + GTSRB
diffae - Official implementation of Diffusion Autoencoders
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
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Traffic_Sign_Recognition_Efficient_CNNs - A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.
glasses - High-quality Neural Networks for Computer Vision 😎
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.