---
title: SmartVision AI
emoji: 👀
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
license: mit
app_port: 7860
---

# 🔍 SmartVision: Advanced Object Detection & Classification

This project is an end-to-end Computer Vision pipeline designed for training and comparing multiple Deep Learning architectures (VGG16, ResNet50, MobileNetV2, EfficientNet) and real-time detection via YOLOv8.

## 🚀 Project Features
* **Multi-Model Comparison:** Dynamic leaderboard comparing accuracy and inference latency.
* **YOLOv8 Integration:** Real-time object detection on 25 COCO-subset classes.
* **Automated Pipeline:** Scripts for dataset generation, model training, and evaluation.

## 📂 Directory Structure
* `app.py`: Main Streamlit interface.
* `models/`: Contains the trained `.h5` and `.pt` weights.
* `pages/`: Additional dashboard pages for performance analytics.
* `training/`: Specialized scripts for each architecture.

## 🛠️ Local Setup
1. Clone the repository.
2. Install dependencies: `pip install -r requirements.txt`
3. Run the app: `streamlit run app.py`