Qualcomm AI Hub

What is Qualcomm AI Hub?

Qualcomm AI Hub is a comprehensive platform provided by Qualcomm that offers access to fully optimized and ready-to-deploy AI models. These models have been validated and optimized by Qualcomm and are designed to leverage Qualcomm's AI Engine for efficient execution. The key features of Qualcomm AI Hub include support for on-device deployment, compatibility with various platforms and devices, and specific optimization for Qualcomm's AI Engine, which supports CPU, GPU, and NPU acceleration. The platform offers a wide range of AI models for diverse applications, such as image processing, object detection, speech denoising, and human body pose estimation, among others. Users can deploy these AI models directly on-device using TensorFlow Lite or Qualcomm AI Engine Direct, ensuring efficient performance on local CPU, GPU, or NPU. The models are compatible with Snapdragon mobile platforms, Samsung, Xiaomi devices, and multiple generations of Snapdragon, as well as Qualcomm Robotics RB5. Qualcomm AI Hub also provides support for Android device deployment and offers models for functions like image segmentation, image in-painting, real-time object detection, and speech denoising. Moreover, the AI models are validated and optimized by Qualcomm to ensure reliability, efficiency, and optimized performance on their hardware infrastructure.

Based on the documents "qualcomm-ai-hub.pdf".

Who created Qualcomm AI Hub?

The Qualcomm AI Hub was created by Qualcomm Technologies, Inc., which operates as a subsidiary of Qualcomm Incorporated. It was launched on February 27, 2024, as a platform providing access to optimized and ready-to-deploy AI models. The hub is designed to support diverse platforms and devices, leveraging Qualcomm's AI Engine for CPU, GPU, and NPU acceleration.

What is Qualcomm AI Hub used for?

• Optical Character Recognition (OCR)
• High-resolution image in-painting
• Real-time object detection
• Speech denoising
• Human body pose estimation
• Face detection
• Multilingual transcription and translation
• Real-time facial feature location
• Zero-shot image classification
• Vision and language tasks like image/text similarity
• Optical character recognition
• Image/text similarity tasks
• Segment-Anything-Model for mask generation
• Stable-Diffusion model for image generation
• Whisper-Base model for multilingual transcription and translation
• TrOCR model for optical character recognition
• MediaPipe-Face-Detection model for real-time face detection and facial feature location
• OpenAI-Clip model for vision and language tasks
• Facebook-Denoiser model for speech denoising
• MediaPipe-Pose-Estimation model for human body pose estimation
• Yolo-v7 model for real-time object detection
• Baichuan-7B model for language tasks

How to use Qualcomm AI Hub?

To use Qualcomm AI Hub, follow these steps:

1. Access the Platform: Visit the Qualcomm AI Hub platform to explore the available AI models.

2. Select Model: Choose a model based on your requirements, such as image processing, object detection, or speech denoising.

3. Deployment: Deploy the selected model directly on your device using TensorFlow Lite or Qualcomm AI Engine Direct for efficient on-device execution.

4. Utilize Optimizations: Take advantage of CPU, GPU, and NPU acceleration supported by the Qualcomm AI Engine for enhanced performance.

5. Compatibility: Ensure compatibility with various devices, including Android devices, Samsung, Xiaomi, and Snapdragon platforms, for seamless deployment.

6. Model Variety: Explore the diverse range of models available, ranging from image in-painting to real-time object detection and human body pose estimation.

7. Multilingual Support: Use models like Whisper-Base for multilingual transcription and translation, TrOCR for optical character recognition, and MediaPipe-Face-Detection for real-time face detection and feature location.

8. Enhanced Capabilities: Benefit from models like Baichuan-7B for language tasks, Yolo-v7 for real-time object detection, and Stable-Diffusion for detailed image generation conditioned on text descriptions.

9. Validation: Trust in the validation and optimization performed by Qualcomm on the AI models, ensuring reliability and optimized performance on supported hardware infrastructure.

10. Additional Functionalities: Explore speech denoising models, image noise reduction, image in-painting capabilities, and compatibility with Qualcomm Robotics RB5 for expanded usage scenarios.

By following these steps, you can effectively leverage the Qualcomm AI Hub to enhance your AI model deployment and optimization.