I employed KERAS' pretrained MobileNet CNN and fine-tuned it for our particular flood detection (image classification) task. NOTE: This code was inspired and modified ...

Using the initial data gathered in this study, two deep learning based computer vision approaches ... these were image classification with ResNet-101 and object detection with the Faster R-CNN. Image ...

Abstract: This research presents a deep learning framework designed to automatically detect and classify liver tumors in CT images, leveraging Convolutional Neural Networks (CNNs). The suggested ...

It then follows a structured machine learning pipeline including data preprocessing, model building, training, validation, and testing. Data augmentation techniques were applied to improve the model's ...

Deep learning has the advantage of using pretrained image classification models for speeding ... We selected Faster R-CNN as one of the two models for tassel detection in this study due to its ...