A list of synthetic dataset and tools for computer vision

A curated list of awesome projects which use Machine Learning to generate synthetic content.

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

BEDLAM (CVPR 2023) render pipeline tools

Optical Flow Dataset and Benchmark for Visual Crowd Analysis

This repository will provide tools and news about The OmniScape Dataset

WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans

Omnidirectional Synthetic image generator for Computer Vision

Using synthetic data in combination with Deep Learning, to determine if a system can be made that will be able to recognise and classify correctly real traffic signs.

A unified framework for example-based texture synthesis, developed alongside my master's thesis.

Repository for Transfer Learning using Deep CNNs trained with synthetic images

These functions will randomly distort image data to amplify total amount of images for use in machine learning algorithms.

Black-box Few-shot Knowledge Distillation

ENRICH: multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry

A semi-synthetic dataset generation tool, specifically crafted for CNN training in drone racing.

Python version of the FluxCompensator described in Koepferl & Robitaille (ApJ, 2017)

Generative Model with Coordinate Metric Learning

A tool to create a synthetic data set, with annotations in the Pascal VOC Format, for use in object classification and detection/tracking.