From 3bf2deab4a9f7398e63d907761036680d2685763 Mon Sep 17 00:00:00 2001 From: Agnes Ansari Date: Thu, 19 Jul 2018 15:42:05 +0300 Subject: [PATCH] Delete Benchmarks-README.md --- Benchmarks-README.md | 42 ------------------------------------------ 1 file changed, 42 deletions(-) delete mode 100644 Benchmarks-README.md diff --git a/Benchmarks-README.md b/Benchmarks-README.md deleted file mode 100644 index 55f889f..0000000 --- a/Benchmarks-README.md +++ /dev/null @@ -1,42 +0,0 @@ - -CIFAR-10: Computer-vision images dataset used for object recognition -- Description: The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. -- Size: 163 MB (python version) -- File type: compressed archive -- License: If you're going to use this dataset, please cite the tech report: Learning Multiple Layers of Features from Tiny Images, Alex Krizhevsky, 2009. -- Tag: -- Prace dataset location: -- url: https://www.cs.toronto.edu/~kriz/cifar.html -- Download url:https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz, md5sum: c58f30108f718f92721af3b95e74349a -- Prace Download script: ./cifar10-download.sh - -=================================================================== -=================================================================== - -ImageNet: Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) -- Description: Training data 1,281,167 224x224 colour images in 1000 synsets. Validation data 50 images/synset. Test data 100 images/synset. -- Size: - - Training images (Task 1 & 2). 138GB. MD5: 1d675b47d978889d74fa0da5fadfb00e - Training images (Task 3). 728MB. MD5: ccaf1013018ac1037801578038d370da - Validation images (all tasks). 6.3GB. MD5: 29b22e2961454d5413ddabcf34fc5622 - Test images (all tasks). 13GB. MD5: fe64ceb247e473635708aed23ab6d839 - -- File type: archive file -- License: - -Terms of use: by downloading the image data from the above URLs, you agree to the following terms: - - You will use the data only for non-commercial research and educational purposes. - You will NOT distribute the above URL(s).p - Stanford University and Princeton University make no representations or warranties regarding the data, including but not limited to warranties of non-infringement or fitness for a particular purpose. - You accept full responsibility for your use of the data and shall defend and indemnify Stanford University and Princeton University, including their employees, officers and agents, against any and all claims arising from your use of the data, including but not limited to your use of any copies of copyrighted images that you may create from the data. - -- Tag: -- Prace dataset location: -- url: http://www.image-net.org/challenges/LSVRC/2012 -- Download url: http://www.image-net.org/challenges/LSVRC/2012 -- Prace Download script: no - -=================================================================== -=================================================================== -- GitLab