From 9e6e261b4a4990bd109dcb3787f6cfc3a20a02b2 Mon Sep 17 00:00:00 2001 From: Agnes Ansari Date: Thu, 19 Jul 2018 12:15:10 +0300 Subject: [PATCH] Update README.md --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index aa8e0ac..f5b48ad 100644 --- a/README.md +++ b/README.md @@ -2,15 +2,15 @@ This project gathers information on location of datasets that can be used for Da or may come from use cases. All these datasets can be used to gain expertise. -CIFAR-10: +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 location/url: -- url: -- Download url: +- url: https://www.cs.toronto.edu/~kriz/cifar.html +- Download url:https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz, md5sum: c58f30108f718f92721af3b95e74349a - Download script: @@ -24,7 +24,7 @@ ImageNet: Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) Validation images (all tasks). 6.3GB. MD5: 29b22e2961454d5413ddabcf34fc5622 Test images (all tasks). 13GB. MD5: fe64ceb247e473635708aed23ab6d839 -- File type: +- File type: archive file - License: Terms of use: by downloading the image data from the above URLs, you agree to the following terms: @@ -36,6 +36,6 @@ Terms of use: by downloading the image data from the above URLs, you agree to th - Tag: - Prace location/url: -- url: -- Download url: +- url: http://www.image-net.org/challenges/LSVRC/2012 +- Download url: - Download script: \ No newline at end of file -- GitLab