Overview
Drag-and-drop web interface for running YOLO object detection on user images with instant visualization.
The Problem
Showcasing deep learning models to non-technical users requires simple, intuitive interfaces.
The Solution
Built Flask web app with drag-and-drop upload, real-time YOLO inference, and annotated result visualization.
Results & Impact
0.5s
Inference Time
Per image on CPU
80
Supported Classes
COCO dataset
10MB
Max Image Size
Upload limit
Key Impact
- Simplified model demonstration
- Used for client presentations
- Educational tool for ML workshops
Technologies Used
PythonFlaskYOLOv5HTML/CSSJavaScript