Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...

Since the images and masks of the original Drone Images are very large (3.8K to 4.4K pixels width), we adopted the following Divide-and-Conquer Strategy for building our segmentation model. 1. Tiled ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

As shown below, the inferred masks predicted by our segmentation model trained on the PNG dataset appear similar to the ground truth masks, but lack precision in some areas. To improve segmentation ...

Introduction: Breast cancer (BC) is a malignant neoplasm that originates in the mammary gland’s cellular structures and remains one of the most prevalent cancers among women, ranking second in ...

Abstract: This research seeks to design and create a thermal monitoring system for load panels utilizing a thermal scanner camera and TensorFlow's image classification method. The system utilizes ...