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() ...

Microsoft has just announced a major upgrade to Python in Excel, allowing you to directly analyze and manipulate images within your spreadsheets. The feature is available for Excel on Windows, Mac, ...

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 ...

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

If you fabricate metal products, understanding your material’s properties is key to your success. One valuable tool to help you measure material behavior during deformation and predict production ...

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