International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 186 - Issue 61 |
Published: January 2025 |
Authors: Samay Sawal, Shailendra Singh Kathait |
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Samay Sawal, Shailendra Singh Kathait . MobileNetV2: Transfer Learning for Elephant Detection. International Journal of Computer Applications. 186, 61 (January 2025), 59-65. DOI=10.5120/ijca2025924403
@article{ 10.5120/ijca2025924403, author = { Samay Sawal,Shailendra Singh Kathait }, title = { MobileNetV2: Transfer Learning for Elephant Detection }, journal = { International Journal of Computer Applications }, year = { 2025 }, volume = { 186 }, number = { 61 }, pages = { 59-65 }, doi = { 10.5120/ijca2025924403 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2025 %A Samay Sawal %A Shailendra Singh Kathait %T MobileNetV2: Transfer Learning for Elephant Detection%T %J International Journal of Computer Applications %V 186 %N 61 %P 59-65 %R 10.5120/ijca2025924403 %I Foundation of Computer Science (FCS), NY, USA
This study presents a very new and innovative approach to classify the elephants using a deep learning framework [2] which is built on transfer learning and data augmentation techniques. By using the features of MobileNetV2 as the base model, followed by different layers, the model achieved a high accuracy in classifying between images of elephants and other objects. This paper explains in detail about the end-to-end process, including dataset preparation, pre-processing, model architecture, and evaluation metrics. The results indicated the effectiveness of the proposed model in obtaining a high classification accuracy with a robust generalization across the training and validation datasets.