Rent2Reuse Demo Model
Completed
imzhyke

Ezekiel P. Villadolid

@imzhyke

My journey as a builder has been a mix of creativity, problem-solving, and continuous learning. From crafting digital designs to developing web and mobile applications, I’ve explored various technologies to bring ideas to life. My experience spans graphic design, UI/UX, and software development, blending artistry with functionality. Whether leading design initiatives or building tech solutions, I thrive on turning concepts into impactful projects. With every challenge, I refine my skills, pushing boundaries to create meaningful and innovative solutions.

Rent2Reuse Demo Model

Fine-Tuned MobileNetV2 Image Classification Model for Prohibited and Accepted Items: This project showcases a fine-tuned MobileNetV2 image classification model trained to distinguish between Prohibited and Accepted items. The dataset includes 180 distinct classes, with 35 categorized as prohibited and 145 as accepted. The model was trained using TensorFlow on a GPU-accelerated environment with WSL. To enhance usability, I integrated Gradio for an interactive web interface, providing both top-1 and top-3 predictions with corresponding confidence scores.

Status
Completed
Month
February
Started
March 11, 2025

Tech Stack

TensorFlow MobileNetV2 Gradio Hugging Face Spaces Python WSL Jupyter Lab

Comments

Leave a Comment

Comments

Lessons Learned

Learned fine-tuning techniques using MobileNetV2 to achieve improved classification accuracy. Gained experience in GPU setup and troubleshooting on WSL for efficient TensorFlow model training. Learned to build and deploy interactive model interfaces using Gradio for enhanced user experience. Developed strategies to categorize predictions into distinct groups for better interpretation of results. Explored best practices in managing large model files and ensuring proper deployment workflows on Hugging Face Spaces.