ImageNet LSVRC 2014 Training Set (Object Detection)
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

ILSVRC2014_DET_train.tar50.12GB
Type: Dataset
Tags: imagenet, deep learning

Bibtex:
@article{,
title= {ImageNet LSVRC 2014 Training Set (Object Detection)},
keywords= {imagenet, deep learning},
journal= {},
author= {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},
year= {},
url= {},
license= {},
abstract= {See http://image-net.org/challenges/LSVRC/2015/#det},
tos= {},
superseded= {},
terms= {You have been granted access for non-commercial research/educational use. By accessing the data, you have agreed to the following terms.

You (the "Researcher") have requested permission to use the ImageNet database (the "Database") at Princeton University and Stanford University. In exchange for such permission, Researcher hereby agrees to the following terms and conditions:

1. Researcher shall use the Database only for non-commercial research and educational purposes.
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6. If Researcher is employed by a for-profit, commercial entity, Researcher's employer shall also be bound by these terms and conditions, and Researcher hereby represents that he or she is fully authorized to enter into this agreement on behalf of such employer.
7. The law of the State of New Jersey shall apply to all disputes under this agreement.}
}

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