Update README.md

README.md

@@ -8,7 +8,7 @@ CIFAR-10: Computer-vision images dataset used for object recognition
 - 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:
+- 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:
@@ -16,7 +16,7 @@ CIFAR-10: Computer-vision images dataset used for object recognition
 ===================================================================
 
 ImageNet: Large Scale Visual Recognition Challenge 2012 (ILSVRC2012)
-- Description: Training data 1,281,167 images in 1000 synsets. Validation data 50 images/synset. Test data 100 images/synset.
+- 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
@@ -35,7 +35,10 @@ Terms of use: by downloading the image data from the above URLs, you agree to th
     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 location/url:
+- Prace dataset location:
 - url: http://www.image-net.org/challenges/LSVRC/2012
-- Download url: 
-- Prace Download script:
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+- Download url: http://www.image-net.org/challenges/LSVRC/2012
+- Prace Download script: no
+
+
+===================================================================
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