In the field of image recognition, the scale and diversity of datasets are crucial for model training. This study proposes a novel cross-validation dataset pruning method with data balancing (CVDP-DB) ...

Abstract: In the field of image recognition, the scale and diversity of datasets are crucial for model training. This study proposes a novel cross-validation dataset pruning method with data balancing ...

The dataset was randomly partitioned into training (2,013 images), validation (253 images), and test (251 images) sets at an 8:1:1 ratio for model training. The random partitioning strategy was ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

In this tutorial, we delve into the creation of an intelligent Python-to-R code converter that integrates Google’s free Gemini API for validation and improvement suggestions. We start by defining the ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

We have completed the dataset division.It is available at https://drive.google.com/drive/folders/1_ANAyuis2NLfTWKMzmDq7XzSbXjrTtVG?usp=drive_link. We uploaded our ...

In this tutorial, we will show you how to upscale an image using Copilot PC. Whether you want to take a large print of a picture, improve old photos, or crop a photo to focus on the content, you can ...

A secure, production-ready backend REST API built using Flask for managing vehicle damage inspections. The system includes JWT-based authentication, role-based access ...

In this tutorial, we will discover how to harness the power of an advanced AI Agent, augmented with both Python execution and result-validation capabilities, to tackle complex computational tasks. By ...