Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
| Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment | Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning | |
|---|---|---|
| 2 | 8 | |
| 45 | 57 | |
| - | - | |
| 0.0 | 3.6 | |
| almost 3 years ago | about 3 years ago | |
| C# | Jupyter Notebook | |
| MIT License | MIT License |
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Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment
- Simulation based Traffic Sign Recognition Benchmark - A simulation framework developed for training autonomous-driving systems for traffic sign recognition
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Simulation-based Traffic Sign Recognition Benchmark (STSRB)
Check out the GitHub link for more information: https://github.com/alen-smajic/Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN based on the BDD100K dataset
- [P] Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Performance comparison of YOLO and Faster R-CNN on the BDD100K dataset, Goethe University Frankfurt Germany (Fall 2020)
- Real-time Object Detection for Autonomous Driving using Deep Learning, Goethe University Frankfurt Germany (Fall 2020)
What are some alternatives?
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get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
Alturos.Yolo - C# Yolo Darknet Wrapper (real-time object detection)
HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision
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simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper
ailab - Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
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3D-Public-Transport-Simulator - The 3D Public Transport Simulator is a Unity-based simulation, which uses OpenStreetMap data in order to support the simulation of worldwide locations. The development was part of a Bachelor thesis.
NYU-DLSP20 - NYU Deep Learning Spring 2020