A fast and easy-to-use Python object detection script using OpenCV's DNN module and the SSD MobileNet model pretrained on the COCO dataset. 📄
| Feature |
|---|
| 🏷️ Detects 80 common object classes (COCO dataset) in images |
| 🐍 Simple Python script using OpenCV |
| 🎥 Easily extendable to video and real-time camera input |
| 🧠 Uses pretrained deep learning model |
| 🖼️ Supports high-resolution image inputs |
| ⚡ Lightweight SSD MobileNet architecture for real-time performance |
| Technology | Description |
|---|---|
| 🐍 Python | Core programming language for scripting and logic |
| 🧠 OpenCV | Used for image processing and loading the DNN model |
| 🤖 SSD MobileNet | Lightweight object detection model pretrained on COCO |
| 🗂️ COCO Dataset | Dataset with 80 common object classes used for detection |
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Clone the repo:
git clone https://github.com/KrishBharadwaj5678/ObjDetect.git cd ObjDetect -
Install dependencies:
pip install -r requirements.txt
Contributions are welcome!
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🍴 Fork the repository
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📥 Clone your fork
git clone https://github.com/KrishBharadwaj5678/ObjDetect.git
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🛠️ Create a new branch
git checkout -b feature-name
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💻 Make your changes
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💬 Commit your changes
git commit -m "Add: new feature explanation" -
🚀 Push to your forked repo
git push origin feature-name
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🔁 Open a Pull Request