{"id":8782,"date":"2024-04-10T10:18:03","date_gmt":"2024-04-10T14:18:03","guid":{"rendered":"https:\/\/portfolios.cs.earlham.edu\/?page_id=8782"},"modified":"2025-04-14T14:14:00","modified_gmt":"2025-04-14T18:14:00","slug":"kigaona20","status":"publish","type":"page","link":"https:\/\/portfolios.cs.earlham.edu\/index.php\/students\/2024-2\/cs488\/kigaona20\/","title":{"rendered":"Karolayne Gaona"},"content":{"rendered":"\n

Introduction<\/h2>\n\n\n\n

Hi everyone. I am Karolayne Gaona, a senior student from Earlham College majoring in Earth & Environmental Science and Computer Science. <\/p>\n\n\n\n

This is the portal where all my senior project capstone project work is compiled. My project is about image classification, attempting to use Machine Learning ML to classify dog breeds. <\/p>\n\n\n\n

<\/p>\n\n\n\n

Abstract<\/h2>\n\n\n\n

Image classification is an important problem task in computer vision. The field of machine learning in computer vision is growing due to technological developments that improve system performances by learning from experience via computational methods. Convolutional Neural Networks (CNNs) are important elements for feature extraction in image classification. This project attempts to classify images of dogs into their breed categories. Three selected CNNs architectures were used and merged into a single model, applying data augmentation techniques to improve the robustness of the model.<\/p>\n\n\n\n

Paper<\/h2>\n\n\n\n
dogBreedClassification_Gaona<\/a>Download<\/a><\/div>\n\n\n\n

Data Architecture<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

Poster<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

Video<\/h2>\n\n\n\n
\n