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80 million 32×32 images labelled with 75,062 non-abstract nouns. 80,000,000 image, label 2008 [3] Torralba et al. JFT-300M Dataset internal to Google Research. 300M images with 375M labels in 18291 categories 300,000,000 image, label 2017 [4] Google Research Places: 10+ million images in 400+ scene classes, with 5000 to 30,000 images per class.
CIFAR-10 is a set of images that can be used to teach a computer how to recognize objects. Since the images in CIFAR-10 are low-resolution (32x32), this dataset can allow researchers to quickly try different algorithms to see what works. CIFAR-10 is a labeled subset of the 80 Million Tiny Images dataset from 2008, published in 2009. When the ...
Sorted into folders by class of events as well as metadata in a JSON file and annotations in a CSV file. 1,059 Sound Classification 2014 [146] [147] J. Salamon et al. AudioSet 10-second sound snippets from YouTube videos, and an ontology of over 500 labels. 128-d PCA'd VGG-ish features every 1 second. 2,084,320
Windows XP has a 16 TB limit for all file sizes. Windows 7 has a 16 TB limit for all file sizes. Windows 8, 10, and Server 2012 have a 256 TB limit for all file sizes. Linux. 32-bit kernel 2.4.x systems have a 2 TB limit for all file systems. 64-bit kernel 2.4.x systems have an 8 EB limit for all file systems. 32-bit kernel 2.6.x systems ...
The 80 Million Tiny Images dataset was retired from use by its creators in 2020, [5] after a paper by researchers Abeba Birhane and Vinay Prabhu found that some of the labeling of several publicly available image datasets, including 80 Million Tiny Images, contained racist and misogynistic slurs which were causing models trained on them to exhibit racial and sexual bias.
Google Dataset Search is a search engine from Google that helps researchers locate online data that is freely available for use. [1] The company launched the service on September 5, 2018, and stated that the product was targeted at scientists and data journalists .
Extended MNIST (EMNIST) is a newer dataset developed and released by NIST to be the (final) successor to MNIST. [ 15 ] [ 16 ] MNIST included images only of handwritten digits. EMNIST includes all the images from NIST Special Database 19 (SD 19), which is a large database of 814,255 handwritten uppercase and lower case letters and digits.
int32: 32-bit little-endian 2's complement or int64: 64-bit little-endian 2's complement: Double: little-endian binary64: UTF-8-encoded, preceded by int32-encoded string length in bytes BSON embedded document with numeric keys BSON embedded document Concise Binary Object Representation (CBOR) \xf6 (1 byte)
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