Comparative Analysis of CNN-Based Smart Pre-Trained Models for Object Detection on DOTA
Hina Hashmi,
Rakesh Kumar Dwivedi,
Anil Kumar
Abstract:In this paper, we proposed comparative research on the classification of various objects in satellite images using some pre-trained models of CNN (VGG-16, Inception-V3, ResNet-50, EfficientNet-B7) and R-CNN. In this research work, we have used the DOTA dataset, which combines data from 14 classes. We have implemented above mentioned pre-trained models of CNN, and R-CNN to achieve optimal results for accuracy as well as productivity. To detect objects like ships, tennis courts, swimming pools, vehicles, and har… Show more
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