A list of synthetic dataset and tools for computer vision
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Updated
Apr 15, 2023 - Python
A list of synthetic dataset and tools for computer vision
TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"
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
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
Omnidirectional Synthetic image generator for Computer Vision
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
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.
The Illustris Virtual Observatory is an expanded iteration of the Sunpy module(ptorrey) for creating synthetic SDSS, HST, or JWST images of galaxies from the Illustris simulation. For instructions on how to install/use this program, please go to this address:
Minimal example of domain translation using CycleGAN, applied to OCR image data.
Generate synthetic image using DCGAN on fashion mnist data
This repository contains documents and source code related to John W. Belanger Smutny's Viriginia Tech Master's of Engineering senior capstone project on "The Effect of Training Published Computer Vision Models on Unreal Engine Synthetic Images". An Introduction to the Synergy between Graphics Rendering Software and Machine Learning.
A list of synthetic dataset and tools for computer vision
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