🧐 Object Detection Recognition System

Detect objects in images instantly using a simple AI-powered web app.

Live Demo - Try it here!

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🎯 What This Project Does

• Automatically finds and labels objects in images
• Highlights detected objects with boxes and names
• Shows count of each object as a chart
• Works for common things: people, cars, pets, and more

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🚀 Key Features

• Easy Upload - Supports JPG and PNG images
• Fast Results - Detects in seconds thanks to YOLOv8
• Clean UI - Custom background, two-column layout
• Bar Chart - Displays how many of each object found
• Demo Option - Try with sample image included

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🧐 How It Works

1. Upload your image or use the demo provided
2. The AI model scans and marks every object found
3. Detected objects are listed and counted in a chart
4. See the processed image and the chart side by side

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🏗️ Technologies Used

• Python - Programming language
• Streamlit - Simple UI & fast deployment
• YOLOv8 - State-of-the-art object detection
• OpenCV - Image reading and processing
• Pandas - Data table and chart

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📂 Project Structure

Object-Detection-Recognition-System/
├── app.py                    # Main web application
├── requirements.txt          # Python dependencies
├── background_image.jpg      # App background image
├── object detection.ipynb    # Development notebook
├── test_image1.jpg           # Demo/sample image
└── test_video2.mp4           # (For video extension, not used in this app)

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🛠️ How to Run

1. Install dependencies

pip install -r requirements.txt

2. Run the application

streamlit run app.py

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🤗 What You Learn

• Using deep learning models for computer vision
• Building interactive web apps with Streamlit
• Handling and processing images in Python
• Plotting simple charts from detection results

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📈 Results

• Accurate object detection for 80+ common items (COCO dataset)
• Real-time feedback: processed image + chart
• No code or ML knowledge required—just upload and go!

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💡 Possible Improvements

• Add support for video detection (see test_video2.mp4)
• Detect custom objects with retrained models
• Display detection confidence scores
• Expand to real-time webcam detection

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✉️ Contact

Sankaran S

Showcasing computer vision skills through real-world object detection. Perfect for identifying everyday objects in images with AI-powered YOLOv8!

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