Given an input and output directory this code generates N random transformations for each image of the input directory.
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Updated
Dec 23, 2016 - C++
Given an input and output directory this code generates N random transformations for each image of the input directory.
Make own dataset for deep learning
A CNN feature based image retrieval website
Python tool for turning an 🖼️ Image Dataset into the CIFAR-10 format
ImageMonkey is an attempt to create a free, public open source image dataset.
Pedestrian traffic light image dataset (Germany)
Download google images quickly using python
Applied different classifiers on Image Dataset
A tools to search for and download images by keywords using search engines: google/baidu/yahoo/bing. 使用google等搜索引擎搜索关键词并下载图片
Dataset of Canada goose images with annotations of bounding boxes with object classes, suitable for testing object detection algorithms.
This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..
Dataset of Images with Task Annotations
To improve the accuracy of Cifar10 dataset
A tool to generate image dataset for sequences of handwritten digits using MNIST database
Detection of Human Rights Violations in Images: Can Convolutional Neural Networks Help?
Image Scrapper: A Python Script to collect all images form a particular websites to create our own image dataset to build Deep Learning models.
An image classifier built using Pytorch as part of the Udacity Pytorch facebook challenge lab project. Using a flower dataset containing 102 flower classes.
Interactively searching the YFCC100M image dataset using Eureka/OpenDiamond
Dataset of Pokemon images sorted by primary type
Image augmentation using python library PIL (pillow). It generates images with great variations using just single line command.
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