This repository serves as a curated, community-driven list of synthetic datasets, tools, and research papers for computer vision, focusing on the use of synthetic data. It aims to be a central resource for researchers and practitioners exploring synthetic data generation and its applications in areas like object detection, segmentation, and reinforcement learning.

How It Works

The repository is structured as a comprehensive, evolving README file. It categorizes resources into synthetic image datasets, 3D model repositories, and tools/simulators. Each entry typically includes a link to the publication, code repositories (often GitHub), and project pages, with keywords for easier searching. The community is encouraged to contribute updates and additions directly via pull requests.

Quick Start & Requirements

This is a curated list, not a runnable tool. To use the resources, users must visit the linked project pages and follow their specific installation and usage instructions. Many listed tools require game engines like Unreal Engine or Unity, specific Python versions, and potentially GPU acceleration.

Highlighted Details

• Extensive collection of synthetic datasets (e.g., SunCG, Virtual KITTI, Synthia) and 3D model repositories (e.g., ShapeNet).
• Lists numerous simulation tools and platforms (e.g., AirSim, CARLA, UnrealCV, ViZDoom).
• Includes research papers with direct links to PDFs and code, tagged by year and keywords.
• Features resources from major workshops and challenges related to synthetic data in computer vision.

Maintenance & Community

The repository relies on community contributions for updates. Users are encouraged to edit the README directly and submit pull requests for new entries or corrections. Links to relevant workshops (ECCV 2016, ICCV 2017) are provided.

Licensing & Compatibility

The repository itself is not software with a license. The licenses of the individual datasets and tools listed vary widely, from permissive open-source licenses to more restrictive ones. Users must consult the specific license for each resource they intend to use, especially for commercial applications.

Limitations & Caveats

As a community-curated list, the information's completeness and up-to-dateness depend on active contributions. Some links may become outdated, and the quality or usability of listed resources can vary. The repository does not provide direct access to the datasets or tools, only pointers to them.