Open Images Dataset v4 new

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Open Images Dataset v4 new

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

Dataset Attributes

Label SVG
CategoriesLarge-Scale, Category, Real, Image, Deep, Annotation, Automatic, Benchmark, Boundingbox