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Datasets Collection

  • Image Datasets

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Images Datasets

Open Images Dataset V5 + Extensions. 15,851,536 boxes on 600 categories. 2,785,498 instance segmentations on 350 categories. 36,464,560 image-level labels on 19,959 …
THE MNIST DATABASE of handwritten digits Yann LeCun, Courant Institute, NYU Corinna Cortes, Google Labs, New York Christopher J.C. Burges, Microsoft Research, Redmond The MNIST database of handwritten digits, available from this page, has a training set of 60,000 examples, and a test set of 10,000 examples. Home; People
ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.
Back to Alex Krizhevsky’s home page. The CIFAR-10 and CIFAR-100 are labeled subsets of the 80 million tiny images dataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton.

Datasets Articles

Government, State, City, Local, public data sites and portals Data APIs, Hubs, Marketplaces, Platforms, and Search Engines. Data Mining and Data Science Competitions Google Dataset Search …
Introduction. We wish that data sets from India are readily available to practitioners across the world for research and development purposes. We have hosts some data sets below.
Welcome to the data repository for the Machine Learning course by Kirill Eremenko and Hadelin de Ponteves. The datasets and other supplementary materials are below. Enjoy!
Open Datasets. Machine learning starts by getting the right data. Below you will find a list of links to publicly available datasets for a variety of domains.
Public Data Sets. Below are links to publicly available data sets and resources. Datasets are such an integral part of data science and algorithms that it’s almost impossible to talk about our space without talking about data.