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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A list of synthetic dataset and tools for computer vision
| Date | Stars |
|---|---|
| 2026-07-24 | 1024 |
| 2026-07-25 | 1025 |
| 2026-07-28 | 1025 |
| 2026-07-30 | 1025 |
| 2026-07-31 | 1025 |
| 2026-08-06 | 1025 |
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# Synthetic for Computer Vision This is a repo for tracking the progress of using synthetic images for computer vision research. If you found any important work is missing or information is not up-to-date, please edit this file directly and make a pull request. Each publication is tagged with a keyword to make it easier to search. If you find anything missing from this page, please edit this `README.md` file to add it. When adding a new item, you can simply follow the format of existing items. How this document is structured is documented in [`contribute.md`](contribute.md). **How to use**: Click publication to jump to the paper title, detailed information such as code and project page will be provided together with pdf file.** <div id="dataset"></div> ## Synthetic image dataset - [SunCG (Princeton)](https://sscnet.cs.princeton.edu/) - [Minos](https://minosworld.github.io/) - [House3d (Facebook)](https://github.com/facebookresearch/House3D) - [Procedural Human Action Videos (PHAV)](#de2016procedural) - [SURREAL](#varol2017learning) - [Virtual KITTI](#gaidon2016virtual) - [Synthia](#ros2016synthia) - [Sintel](#butler2012naturalistic), A synthetic dataset for optical flow - [SceneFlow](#mayer2015large) - [4D Light Fields](#honauer2016dataset) - [ICL-NUIM dataset](#handa2014benchmark) - [Driving in the Matrix](#drivingthematrix) - [Playing for Benchmarks](http://playing-for-benchmarks.org/overview/) <div id="models"></div> ## 3D Model Repository Realistic 3D models are critical for creating realistic and diverse virtual worlds. Here are research efforts for creating 3D model repositories. - [ShapeNet](#chang2015shapenet) - [3dscan](#choi2016large) - [seeing3Dchairs](#aubry2014seeing) <div id="tool"></div> ## Tools - [AIPlayground: UE4 Based Data Ablation tool](#mousavi2020ai), see [project page](https://github.com/MMehdiMousavi/AIP) - [AirSim (Microsoft)](https://github.com/Microsoft/AirSim) - [CARLA (Intel)](https://github.com/carla-simulator/carla) - [Unity ML agents](https://blogs.unity3d.com/2017/09/19/introducing-unity-machine-learning-agents/) - Render SMPL human bodies on Blender, see [CVPR2017](#varol2017learning) - Render for CNN, based on Blender, see [ICCV2015](#su2015render) - [UETorch](https://github.com/facebook/UETorch), based on UE4, see [ICML2016](#lerer2016learning) - [UnrealCV](https://github.com/unrealcv/unrealcv), based on UE4, see [ArXiv](#qiu2016unrealcv) - VizDoom, based on Doom, see [ArXiv](#kempka2016vizdoom) - OpenAI Universe, see [project page](https://universe.openai.com/) - Blender addon for 4D light field rendering, see [project page](https://github.com/lightfield-analysis/blender-addon) - Event-Camera Dataset and Simulator see [project page](https://github.com/uzh-rpg/rpg_davis_simulator) - [NVIDIA Deep learning Dataset Synthesizer (NDDS)](https://github.com/NVIDIA/Dataset_Synthesizer) <div id="resource"></div> ## Resources [ECCV 2016 Workshop Virtual/Augmented Reality for Visual Artificial Intelligence (VARVAI) workshop](http://adas.cvc.uab.es/varvai2016/) [ICCV 2017 Workshop Role of Simulation in Computer Vision](https://www.microsoft.com/en-us/research/event/iccv-2017-role-of-simulation-in-computer-vision/) [Virtual Reality Meets Physical Reality: Modelling and Simulating Virtual Humans and Environments Siggraph Asia 2016 workshop](http://sigvr.org/) [CVPR 2017 Workshop THOR Challenge](http://vuchallenge.org/thor.html) See also: http://riemenschneider.hayko.at/vision/dataset/index.php?filter=+synthetic ## Misc. - RealismCNN [github](https://github.com/junyanz/RealismCNN) - Abnormality Detection in Images(http://paul.rutgers.edu/~babaks/abnormality_detection.html) <div id="reference"></div> ## Reference <!-- The div id is bib citekey from google scholar, use div id makes it easier to reference a work in this document. --> ### 2020 <div id="mousavi2020ai"></div> - Mousavi, Mehdi and Khanal, Aashis and Estrada, Rolando. "AI Playground: Unreal Eng
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Weichao Qiu · Johns Hopkins University
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Fangwei Zhong · Beijing Normal University · China
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Manuel López Antequera · @mapillary
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Zhedong Zheng · University of Macau · China
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Kevin P Murphy · Google
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:93ef2af7a552e679, topic:computer-vision, name:computer vision, desc:computer vision
matched fp:93ef2af7a552e679, topic:dataset, desc:dataset, readme:dataset