CLASSIFICATION OF DOG BREEDS FROM SPORTING GROUPS USING CONVOLUTIONAL NEURAL NETWORK
Abstract
Keywords
Full Text:
PDFReferences
A. van den Oord, S. Dieleman, and B. Schrauwen, “Deep content-based music recommendation,” Advances in Neural Information Processing Systems 26 (2013), vol. 26, 2013, Accessed: Dec. 16, 2021. [Online]. Available: http://hdl.handle.net/1854/LU-4324554
Z. Ráduly, C. Sulyok, Z. Vadászi, and A. Zölde, “Dog Breed Identification Using Deep Learning,” in SISY 2018 - IEEE 16th International Symposium on Intelligent Systems and Informatics, Pro-ceedings, Nov. 2018, pp. 271–275. doi: 10.1109/SISY.2018.8524715.
K. Balaji and K. Lavanya, “Medical Image Analysis With Deep Neural Networks,” in Deep Learn-ing and Parallel Computing Environment for Bioengineering Systems, Elsevier, 2019, pp. 75–97. doi: 10.1016/b978-0-12-816718-2.00012-9.
M. Szummer and R. W. Picard, “Indoor-outdoor image classification,” in Proceedings - 1998 IEEE International Workshop on Content-Based Access of Image and Video Database, CAIVD 1998, 1998, pp. 42–51. doi: 10.1109/CAIVD.1998.646032.
D. Hsu, “Using Convolutional Neural Networks to Classify Dog Breeds,” 2015.
C. Wang, J. Wang, Q. Du, and X. Yang, “Dog breed classification based on deep learning,” in Pro-ceedings - 2020 13th International Symposium on Computational Intelligence and Design, ISCID 2020, Dec. 2020, pp. 209–212. doi: 10.1109/ISCID51228.2020.00053.
X. Wang, V. Ly, S. Sorensen, and C. Kambhamettu, “Dog breed classification via landmarks,” in 2014 IEEE International Conference on Image Processing, ICIP 2014, Jan. 2014, pp. 5237–5241. doi: 10.1109/ICIP.2014.7026060.
J. Liu, A. Kanazawa, D. Jacobs, and P. Belhumeur, “Dog Breed Classification Using Part Localiza-tion,” in 12th European Conference on Computer Vision, 2012, pp. 172–185. doi: 10.1007/978-3-642-33718-5_13.
M. V. S. Rishita and T. A. Harris, “Dog breed classifier using convolutional neural networks,” Dec. 2018. doi: 10.1109/ICNEWS.2018.8903980.
A. Khosla, N. Jayadevaprakash, B. Yao, and F.-F. Li, “Novel Dataset for Fine-Grained Image Cate-gorization: Stanford Dogs,” 2012. [Online]. Available: http://vision.stanford.edu/aditya86/StanfordDogs/
D. N. Zou, S. H. Zhang, T. J. Mu, and M. Zhang, “A new dataset of dog breed images and a bench-mark for finegrained classification,” Computational Visual Media 2020 6:4, vol. 6, no. 4, pp. 477–487, Oct. 2020, doi: 10.1007/S41095-020-0184-6.
B. McMillan, “Dog Breed Guide: Explore the 7 Major Dog Groups,” Dec. 07, 2020. https://www.masterclass.com/articles/dog-breed-guide#what-are-the-7-major-dog-groups (accessed Dec. 16, 2021).
K. He, X. Zhang, S. Ren, and J. Sun, “Deep Residual Learning for Image Recognition,” in Proceed-ings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Dec. 2015, vol. 2016-December, pp. 770–778. doi: 10.1109/CVPR.2016.90.
M. Sokolova and G. Lapalme, “A systematic analysis of performance measures for classification tasks,” Information Processing & Management, vol. 45, no. 4, pp. 427–437, Jul. 2009, doi: 10.1016/J.IPM.2009.03.002.
T. Fawcett, “An introduction to ROC analysis,” Pattern Recognition Letters, vol. 27, no. 8, pp. 861–874, Jun. 2006, doi: 10.1016/j.patrec.2005.10.010.
DOI: https://doi.org/10.29100/jipi.v7i4.3208
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Website : https://jurnal.stkippgritulungagung.ac.id/index.php/jipi/index
Email : jipi@stkippgritulungagung.ac.id
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.