Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment
com.unity.perception
| Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment | com.unity.perception | |
|---|---|---|
| 2 | 8 | |
| 45 | 872 | |
| - | 1.1% | |
| 0.0 | 0.0 | |
| almost 3 years ago | 11 months ago | |
| C# | C# | |
| MIT License | GNU General Public License v3.0 or later |
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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
com.unity.perception
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Synthetic image Generation
Unity
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dataset collection for transfer learning
If you are interested, there are open source solutions on top of Unity, Blender, Unreal. You can generate yourself the data you described easier than it looks (the amount of options and settings can be intimidating with these tools).
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Help with Yolov4 Training and Synthetic Data
I see that you are already selected Unity for your AR app development, so you can go ahead and generate your data in Unity as well. They have an open source package to do that. Repo has tutorials to get you started and perception team is responsive to issues and questions.
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Unity provides People Generator & Home Interior Generator for Computer Vision tasks!
Check the Unity Perception Package here.
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How to generate images and labels using unity (or other game engine) to train YOLO5 object detection model? (Synthetic Data generation using unity for neural network learning). Are there any existing solutions? Or something similar
Hey, you can use Unity’s official Perception package. They have tutorials in the repo, but if you need more there are couple of tutorials on YT. If you don’t mind, what kind of images are you going to generate? I am developing a synthetic data generation tool for Unity, may I ask you couple of questions?
- Are there any tools to generate images and labels from 3d models/games?
- [D] Use of (machine learning + Game engines) for automatic 2D/3D content creation
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How to get started with synthetic data generation?
Using Unity: https://github.com/Unity-Technologies/com.unity.perception
What are some alternatives?
flowframes - Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)
BlenderProc - A procedural Blender pipeline for photorealistic training image generation
OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration
PeopleSansPeople - Unity's privacy-preserving human-centric synthetic data generator
Alturos.Yolo - C# Yolo Darknet Wrapper (real-time object detection)
kubric - A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
ailab - Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
EasySynth - Unreal Engine plugin for easy creation of synthetic image datasets
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.
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
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.
unrealcv - UnrealCV: Connecting Computer Vision to Unreal Engine