Advanced AI Image Recognition

Experience state-of-the-art image recognition powered by advanced AI models. Our tool processes everything locally in your browser with efficient model caching, ensuring fast and secure analysis of your images.

Recognition Type

Model Selection

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Results

Frequently Asked Questions

We offer four powerful models with different characteristics:

Phi 3.5 Vision Instruct (Recommended)

  • Best for image recognition
  • Faster, more concise responses
  • More detailed and descriptive responses
  • Requires more system resources

Janus-1.3B-ONNX

  • Smaller model size, faster loading and inference
  • Excellent for general object detection and scene analysis
  • More concise and focused responses
  • Better performance on resource-constrained devices

Qwen2-VL-2B-Instruct

  • Larger model with more detailed analysis capabilities
  • Better at understanding complex scenes and relationships
  • More detailed and descriptive responses
  • Requires more system resources

LLaVA OneVision 0.5B

  • Lightweight model optimized for efficiency
  • Good balance between speed and accuracy
  • Suitable for general-purpose image analysis
  • Ideal for devices with limited resources

Our AI model utilizes an efficient caching system:

  • The model is downloaded only once during your first use
  • Subsequent uses will load the model from your browser's cache
  • This significantly reduces loading time for repeat usage
  • Cache is maintained across browser sessions
  • Each model is cached separately for optimal performance

We use advanced vision-language models optimized for browser-based processing:

  • State-of-the-art vision-language models capable of understanding and describing images in natural language
  • Models are optimized for ONNX runtime, ensuring efficient browser-based execution
  • Support for both quick analysis (Janus) and detailed description (Qwen2) use cases
  • All processing happens locally in your browser for privacy and speed

Our recognition accuracy depends on several factors:

  • Image quality and resolution
  • Lighting conditions and angles
  • Object size and clarity in the image
  • Selected model and its capabilities

For optimal results, we recommend:

  • Using clear, well-lit images
  • Ensuring the main subject is in focus
  • Using images with good resolution (at least 640x640 pixels)
  • Choosing the appropriate model for your use case

  • All processing is done locally in your browser
  • Images are not uploaded to any server
  • No personal data is collected or stored
  • Results are temporary and cleared when you close the page