{ "citation": "@article{ILSVRC15,\nAuthor = {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei},\nTitle = {{ImageNet Large Scale Visual Recognition Challenge}},\nYear = {2015},\njournal = {International Journal of Computer Vision (IJCV)},\ndoi = {10.1007/s11263-015-0816-y},\nvolume={115},\nnumber={3},\npages={211-252}\n}", "description": "ILSVRC 2012, commonly known as 'ImageNet' is an image dataset organized\naccording to the WordNet hierarchy. Each meaningful concept in WordNet,\npossibly described by multiple words or word phrases, is called a \"synonym set\"\nor \"synset\". There are more than 100,000 synsets in WordNet, majority of them\nare nouns (80,000+). In ImageNet, we aim to provide on average 1000 images to\nillustrate each synset. Images of each concept are quality-controlled and\nhuman-annotated. In its completion, we hope ImageNet will offer tens of\nmillions of cleanly sorted images for most of the concepts in the WordNet\nhierarchy.\n\nThe test split contains 100K images but no labels because no labels have been\npublicly released. To assess the accuracy of a model on the ImageNet test split,\none must run inference on all images in the split, export those results to a\ntext file that must be uploaded to the ImageNet evaluation server. The\nmaintainers of the ImageNet evaluation server permits a single user to submit up\nto 2 submissions per week in order to prevent overfitting.\n\nTo evaluate the accuracy on the test split, one must first create an account at\nimage-net.org. This account must be approved by the site administrator. After\nthe account is created, one can submit the results to the test server at\nhttp://www.image-net.org/challenges/LSVRC/2013/test_server\nThe submission consists of several ASCII text files corresponding to multiple\ntasks. The task of interest is \"Classification submission (top-5 cls error)\".\nA sample of an exported text file looks like the following:\n\n```\n771 778 794 387 650\n363 691 764 923 427\n737 369 430 531 124\n755 930 755 59 168\n```\n\nThe export format is described in full in \"readme.txt\" within the 2013\ndevelopment kit available here:\nhttp://imagenet.stanford.edu/image/ilsvrc2013/ILSVRC2013_devkit.tgz\nPlease see the section entitled \"3.3 CLS-LOC submission format\". Briefly, the\nformat of the text file is 100,000 lines corresponding to each image in the test\nsplit. Each line of integers correspond to the rank-ordered, top 5 predictions\nfor each test image. The integers are 1-indexed corresponding to the line number\nin the corresponding labels file. 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