Update README.md

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:
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