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MobileNetV2: Transfer Learning for Elephant Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 61 |
| Year of Publication: 2025 |
| Authors: Samay Sawal, Shailendra Singh Kathait |
10.5120/ijca2025924403
|
Samay Sawal, Shailendra Singh Kathait . MobileNetV2: Transfer Learning for Elephant Detection. International Journal of Computer Applications. 186, 61 ( Jan 2025), 59-65. DOI=10.5120/ijca2025924403
Abstract
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.
References
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