Getting Started

To begin, ensure you have the AI Kit installed: 

pip install ai-kit
AI_Kit_Installation

Key Steps

  1. Import the AI Kit library: 

    import ai_kit as aik

  2. Load a pre-trained model: 

    model = aik.load_model("image_recognition_v1.0")
    Model_Loading_Process

  3. Process input images: 

    image = aik.preprocess("your_image_path.jpg")

  4. Perform prediction: 

    result = model.predict(image)
    Image_Prediction_Example

Results & Customization

  • Result format: A dictionary with labels and confidence scores.
  • Customize model: Use aik.train() for fine-tuning with your dataset.
  • Save model: model.save("custom_model.pth")

For advanced usage, check the AI Kit Overview to explore more features.

Scene_Recognition_Application

Tips

✅ Use GPU acceleration for faster inference.
⚠️ Always validate input data before processing.
🌐 Explore image recognition use cases for real-world applications.