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March 30, 2020 13:34
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{ | |
"citation": "\n@inproceedings{coates2011stl10,\n title={{An Analysis of Single Layer Networks in Unsupervised Feature Learning}},\n author={Coates, Adam and Ng, Andrew and Lee, Honglak},\n booktitle={AISTATS},\n year={2011},\n note = {\\url{https://cs.stanford.edu/~acoates/papers/coatesleeng_aistats_2011.pdf}},\n}\n", | |
"description": "The STL-10 dataset is an image recognition dataset for developing unsupervised\nfeature learning, deep learning, self-taught learning algorithms. It is inspired\nby the CIFAR-10 dataset but with some modifications. In particular, each class\nhas fewer labeled training examples than in CIFAR-10, but a very large set of \nunlabeled examples is provided to learn image models prior to supervised\ntraining. The primary challenge is to make use of the unlabeled data (which\ncomes from a similar but different distribution from the labeled data) to build\na useful prior. All images were acquired from labeled examples on ImageNet.\n", | |
"downloadSize": "2640397119", | |
"location": { | |
"urls": [ | |
"http://ai.stanford.edu/~acoates/stl10/" | |
] | |
}, | |
"name": "stl10", | |
"schema": { | |
"feature": [ | |
{ | |
"name": "image", | |
"shape": { | |
"dim": [ | |
{ | |
"size": "96" | |
}, | |
{ | |
"size": "96" | |
}, | |
{ | |
"size": "3" | |
} | |
] | |
}, | |
"type": "INT" | |
}, | |
{ | |
"name": "label", | |
"type": "INT" | |
} | |
] | |
}, | |
"splits": [ | |
{ | |
"name": "test", | |
"numBytes": "141559470", | |
"numShards": "1", | |
"shardLengths": [ | |
"4000", | |
"4000" | |
], | |
"statistics": { | |
"features": [ | |
{ | |
"name": "image", | |
"numStats": { | |
"commonStats": { | |
"numNonMissing": "8000" | |
}, | |
"max": 255.0 | |
} | |
}, | |
{ | |
"name": "label", | |
"numStats": { | |
"commonStats": { | |
"numNonMissing": "8000" | |
}, | |
"max": 9.0 | |
} | |
} | |
], | |
"numExamples": "8000" | |
} | |
}, | |
{ | |
"name": "train", | |
"numBytes": "88659596", | |
"numShards": "1", | |
"shardLengths": [ | |
"5000" | |
], | |
"statistics": { | |
"features": [ | |
{ | |
"name": "image", | |
"numStats": { | |
"commonStats": { | |
"numNonMissing": "5000" | |
}, | |
"max": 255.0 | |
} | |
}, | |
{ | |
"name": "label", | |
"numStats": { | |
"commonStats": { | |
"numNonMissing": "5000" | |
}, | |
"max": 9.0 | |
} | |
} | |
], | |
"numExamples": "5000" | |
} | |
}, | |
{ | |
"name": "unlabelled", | |
"numBytes": "1768679989", | |
"numShards": "1", | |
"shardLengths": [ | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250", | |
"6250" | |
], | |
"statistics": { | |
"features": [ | |
{ | |
"name": "image", | |
"numStats": { | |
"commonStats": { | |
"numNonMissing": "100000" | |
}, | |
"max": 255.0 | |
} | |
}, | |
{ | |
"name": "label", | |
"numStats": { | |
"commonStats": { | |
"numNonMissing": "100000" | |
}, | |
"max": -1.0, | |
"min": -1.0 | |
} | |
} | |
], | |
"numExamples": "100000" | |
} | |
} | |
], | |
"supervisedKeys": { | |
"input": "image", | |
"output": "label" | |
}, | |
"version": "1.0.0" | |
} |
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