TensorFlow Object Detection

A computer vision project built using TensorFlow and OpenCV to detect and localize objects in images or real-time video streams using pre-trained deep learning models.

🚀 Features

• Detects multiple objects in images and videos
• Displays bounding boxes with confidence scores
• Supports real-time webcam detection
• Uses TensorFlow Object Detection API
• Easily extendable for custom-trained models

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🛠️ Tech Stack

• Language: Python
• Framework: TensorFlow
• Computer Vision: OpenCV
• Libraries: NumPy
• Tools: Git, GitHub

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📂 Project Structure

Tensorflow_Object_Detection/
├── images/
├── models/
├── training/
├── inference/
├── scripts/
├── workspace/
├── requirements.txt
└── README.md

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⚙️ Installation

git clone https://github.com/ShivamSatpute203/Tensorflow_Object_Detection.git
cd Tensorflow_Object_Detection
pip install -r requirements.txt

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▶️ Usage

Run the project using the appropriate entry point:

python detect.py

Replace detect.py with your project's main Python file if different.

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📚 What I Learned

• TensorFlow Object Detection API
• Computer Vision fundamentals
• Real-time object detection
• Deep learning model inference
• Image processing with OpenCV

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🔮 Future Improvements

• Train on custom datasets
• Add YOLO support
• Improve inference speed
• Deploy as a web application

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👨‍💻 Author

Shivam Satpute

• GitHub: https://github.com/ShivamSatpute203