Abstract: Vehicle classification has been widely studied in recent years, with a variety of classification criteria, using different backbone networks (CNN/Transformer) and different datasets for ...

The current manual classification ... Neural Network (CNN) that can efficiently classify images into their respective fashion categories. It's vital that this model is resilient to various image ...

This study presents a deep Convolutional Neural Network (CNN ... 19 RATD image classification. Methods: To address the absence of a RATD image dataset, we crowdsourced 900 real-world images focusing ...

The project includes a detailed explanation of the CNN and ICP algorithms ... which consists of 60,000 32x32 color images in 10 classes.

Both unlabeled and labeled data are used regarding many ... The linearly separable optimal classification hyperplane is demonstrated in Figure 2. To extract and forecast the obtained brain image ...

we proposed an ensemble CNNs for multi-class classification study based on integration of image preprocess, deep learning and risk management on skin cancer dermoscopy images with Meta-data. We ...