Mini ImageNet's classification of images

Authors

  • Madhu

Abstract

One of the most discussed topics in artificial intelligence has been image classification; deep models require greater datasets and strong technology to enable highperformance classification. In order to categorise 100,000 test photos into 1000 distinct groups, the ImageNet Challenge was launched in 2010. Similar to the ImageNet challenge, the Small ImageNet challenge involves resizing photos from the conventional ImageNet to 64x64.

References

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Whig, P., & Ahmad, S. N. (2012a). A CMOS integrated CC-ISFET device for water quality monitoring. International Journal of Computer Science Issues, 9(4), 1694–1814.

Whig, P., & Ahmad, S. N. (2012f). Performance analysis of various readout circuits for monitoring quality of water using analog integrated circuits. International Journal of Intelligent Systems and Applications, 4(11), 103.

Published

2012-08-17

How to Cite

Madhu. (2012). Mini ImageNet’s classification of images. International Journal of Statistical Computation and Simulation, 4(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/176

Issue

Section

Articles