Submit your paper : editorIJETjournal@gmail.com Paper Title : DOG BREED CLASSIFIER ISSN : 2395-1303 Year of Publication : 2021 10.29126/23951303/IJET-V7I4P03 MLA Style: -AYUSH MEHROTRA, KARAN KAPPOR, VIKRANT CHAUHAN , " DOG BREED CLASSIFIER " Volume 7 - Issue 4 July - August,2021 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org APA Style: -AYUSH MEHROTRA, KARAN KAPPOR, VIKRANT CHAUHAN, " DOG BREED CLASSIFIER " Volume 7 - Issue 4 July - August,2021 International Journal of Engineering and Techniques (IJET) ,ISSN:2395-1303 , www.ijetjournal.org Abstract - Canine variety classification could likewise be an unmistakable use of convolutional neural organizations. It falls beneath the classification of fine-grained picture characterization drawback, where between class varieties unit of estimation little & regularly one minimal area of the picture considered makes the greatness among the grouping. the different classes of pictureNet can have gigantic between class varieties, making it simpler to reason appropriately. all through this work, I plan to utilize a convolutional neural organization system to instruct & reason canine varieties. I approach this first practice CNN's upheld LeNet & GoogLeNet designs Reference [1] A. Khosla, N. Jayadevaprakash, B. Yao & L. Fei-Fei. "Novel data file for Fine-Grained picture Categorization". First Works on Fine-Grained Visual Categorization (FGVC), IEEE Conference on PC & Pattern Recognition (CVPR), 2011. [2] C. Wah, S. Branson, P. Welinder, P. Perona, & S. Belongie. "The Caltech-UCSD Birds-200-2011 data file." Computation & Neural Systems Technical Statement, CNS-TR-2011-001. [3] M. Nilsback, and A. Zisserman. "Mechanized blossom characterization over a wider mean than assortment of classes." PC Vision, Graphics and picture measure, 2008. ICVGIP'08. 6th Indian Conference on. IEEE, 2008. [4] S. Maji, J. Kannala, E. Rahtu, M. Blaschko, A. Vedaldi, "Fine-Grained Visual of Aircraft",arXiv.org, 2013 [5] G. Chen, J. Yang, H. Jin, E. Shechtman, J. Brandt, and T. Han, "Particular Pooling Vector for Fine-Grained Recognition", Applications of PC Vision (WACV), 2015 IEEE Winter Conference on. IEEE, 2015. [6] J. Liu, A. Kanazawa, D. Jacobs, and P. Belhumeur, "Canine Breed Classification abuse half Localization", PC Vision–ECCV 2012. Springer Berlin Heidelberg, 2012. 172-185. [7] S. Yang, L. Bo, J. Wang, and L. Shapiro, "Unaided templet Learning for Fine-Grained Object Recognition". Advances in Neural Science Systems. 2012. [8] N. Zhang, J. Donahue, R. Girshick, and T. Darrell, "Part-based R-CNNs for fine-grained class recognition". PC Vision–ECCV 2014. Springer International distribution, 2014. 834-849. [9] T. Xiao, Y. Xu, K. Yang, J. Zhang, Y. Peng, and Z. Zhang, "The Application of 2 Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification", arXiv.org:1411.6447, Nov. 2014. [10] C. Kanan, "Fine-Grained visual discernment with Gnostic Fields", Applications of PC Vision (WACV), 2014 IEEE Winter Conference on. IEEE, 2014. [11] Y. LeCun, L. Jackel, L. Bottou, A. Brunot, C. Cortes, J. Denker, H. Drucker, I. Guyon, U. Muller, E. Sackinger, P. Simard, and V. Vapnik, "Examination of learning algorithmsfor handwritten digit acknowledgment." International meeting on counterfeit neural organizations. Vol. 60. 1995 Keywords —— |