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Dog Breed Image Classification Web Application. Met requirements for WGU Computer Science Capstone.
Lydia-Strough/Lydia-Strough_Python3_What-Pup
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TITLE: What Pup? (Lydia Strough, WGU Computer Science Capstone) PURPOSE: Real-time machine learning-enabled dog breed image classification web application. Identifies up to 70 dog breeds with a test accuracy of 45%. APPLICATION VERSION & DATE: Application Version 1.0, 05/14/2023 AUTHOR: Lydia Strough, WGU#002452624 ENVIRONMENT: Programming language: Python 3 IDE: Google Colab API: Gradio.app The application is permanently hosted in a HuggingFace.co “public space” DIRECTIONS: Click the link below to access the application on HuggingFace (https://huggingface.co/spaces/Lydia-Strough/What-Pup). See "USER GUIDE.docx" for an application user guide. For all other information regarding this project, including code, data, and model reports, see "Lydia_Strough_C964_Task2_Documentation.docx".
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