Process Google Dataset

Process Google Dataset is a library to download and process images for Neural Networks from a Google Image Search using a Chrome extension and a simple Python code.
Alternatives To Process Google Dataset
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Pytorch Cyclegan And Pix2pix21,090
8 months ago519otherPython
Image-to-Image Translation in PyTorch
Tensor2tensor13,701828a year ago79June 17, 2020589apache-2.0Python
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
3 years ago76otherLua
Image-to-image translation with conditional adversarial nets
6 years ago41bsd-2-clausePython
Not Suitable for Work (NSFW) classification using deep neural network Caffe models.
Stargan V23,185
a year ago95otherPython
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
Img2dataset2,98626 months ago83August 20, 2023107mitPython
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
7 months ago12August 02, 2022134mitPython
A synthetic data generator for text recognition
Ffhq Dataset2,842
2 years ago5otherPython
Flickr-Faces-HQ Dataset (FFHQ)
Covid Chestxray Dataset2,841
2 years ago41Jupyter Notebook
We are building an open database of COVID-19 cases with chest X-ray or CT images.
2 years ago2mitJupyter Notebook
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Alternatives To Process Google Dataset
Select To Compare

Alternative Project Comparisons
Popular Image Projects
Popular Dataset Projects
Popular Media Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Machine Learning
Artificial Intelligence
Neural Network
Image Processing
Object Detection
Image Recognition