View Natural scenes data (public)























- Summary
Image patches taken at random from natural scenes
- License
- ODbL
- Dependencies
- Tags
- Attribute Types
- Download
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# Instances: 1000 / # Attributes: 1024
HDF5 (7.9 MB) XML CSV ARFF LibSVM Matlab OctaveFiles are converted on demand and the process can take up to a minute. Please wait until download begins.
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- Original Data Format
- csv
- Name
- natural-scenes-data
- Version mldata
- 0
- Comment
CSV
- Names
- double0,double1,double2,double3,double4,double5,double6,double7,double8,double9,
- Data (first 10 data points)
doub... doub... doub... doub... doub... doub... doub... doub... doub... doub... ... 1.37... 0.94... 0.68... -0.24... 0.42... 0.79... 0.91... 0.99... 0.99... -0.50... ... 0.76... 0.81... 0.81... -0.22... 0.29... 1.22... 0.87... 0.18... 0.09... 0.18... ... 1.04... 0.64... 0.58... 1.28... 1.28... 1.04... 0.61... 0.12... 0.38... 2.32... ... -0.50... 0.16... 0.39... 0.68... 0.65... 0.53... 0.22... 0.07... 0.53... -0.21... ... 0.52... 1.39... 1.39... 0.76... 0.78... 0.84... 0.29... 0.84... 1.36... 1.48... ... -0.43... -0.19... 0.26... 0.20... 0.11... -0.02... 0.17... 0.40... 0.00... -0.14... ... -0.01... 1.57... -0.39... -0.85... 0.09... -0.16... 0.38... 0.64... 0.67... 0.21... ... 0.88... 1.35... 1.40... 0.91... 1.03... 2.07... 1.89... 2.18... 0.19... -0.09... ... -0.22... -0.02... 1.68... 2.08... 0.23... -1.40... -1.90... -1.40... -1.14... -0.94... ... -1.10... -0.69... -0.23... -0.52... -0.98... -1.27... -1.30... -1.47... -0.49... 0.39... ... ... ... ... ... ... ... ... ... ... ... ...
- Description
A set of 1000 image patches of size 32-by-32 pixels taken from natural scenes.
- URLs
- (No information yet)
- Publications
- Data Source
- Measurement Details
- Usage Scenario
- revision 1
- by demo on 2011-09-14 14:35
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Disclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.
