Yet Another Computer Vision Index To Datasets (YACVID) - Details

Stand: 2017-07-23 000000m 12:50:33 - Overview

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Name (Institute + Shorttitle)Open Images Dataset 
Description (include details on usage, files and paper references)Today, we introduce Open Images, a dataset consisting of ~9 million URLs to images that have been annotated with labels spanning over 6000 categories. We tried to make the dataset as practical as possible: the labels cover more real-life entities than the 1000 ImageNet classes, there are enough images to train a deep neural network from scratch and the images are listed as having a Creative Commons Attribution license*.

The image-level annotations have been populated automatically with a vision model similar to Google Cloud Vision API. For the validation set, we had human raters verify these automated labels to find and remove false positives. On average, each image has about 8 labels assigned.

https://research.googleblog.com/2016/09/introducing-open-images-dataset.html?m=1
 
URL Linkhttps://github.com/openimages/dataset 
Files (#)9000000 
References (SKIPPED)
Category (SKIPPED) 
Tags (single words, spaced)classification large-scale category real image deep annotation automatic 
Last Changed2017-07-23 
Turing (2.12+3.25=?) :-)