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February 28, 2024

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Qualcomm AI Hub

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106 aihub.qualcomm.com

Overview

The Qualcomm AI Hub is a comprehensive platform offering access to fully optimized and ready-to-deploy AI models. These models are validated by Qualcomm and specifically optimized to leverage Qualcomms AI Engine which supports CPU, GPU, and NPU acceleration.

Users can explore a range of AI models for various applications such as high-resolution image in-painting, real-time object detection, image noise reduction, human body pose estimation, speech denoising and more.

The models can be utilized on-device, and are compatible with a wide range of platforms and devices, including various models of the Snapdragon mobile platform, as well as numerous Samsung and Xiaomi devices.

Deployment support extends to Android devices, utilizing TensorFlow Lite or Qualcomm AI Engine Direct. The hub also provides a wide range of models like Segment-Anything-Model, Stable-Diffusion, Whisper-Base, TrOCR, MediaPipe-Face-Detection, and more.

Each model serves a unique purpose, from generating high-quality segmentation masks or detailed images based on text prompts to offering automatic speech recognition, optical character recognition, and face detection among other functionalities.

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Pros and Cons

Pros

Supports CPU, GPU, NPU

Wide range of applications

Compatible with many devices

Supports Snapdragon mobile platforms

Supports Samsung, Xiaomi devices

Deployment on Android devices

Utilizes TensorFlow Lite

High-quality segmentation masks

Optical character recognition

Face detection functionality

Works with text prompts

Automatic speech recognition

Image noise reduction support

Real-time object detection

High-resolution image in-painting

Human body pose estimation

Optimized for mobile, edge

Speech denoising capability

Segment-Anything-Model availability

Stable-Diffusion for image generation

Access to Whisper-Base model

Accessibility of TrOCR model

Large Language Models Access

Ready-to-deploy models

Associated community support

Demo provision

Optimized hardware acceleration

Variety of Snapdragon platforms supported

Wide range of supported devices

Segment-Anything-Model for mask generation

State-of-art Stable-Diffusion model

Multilingual Whisper-Base model

Transformer based TrOCR model

Real-Time MediaPipe Face Detection

Real-time object detection with Yolo-v7

Baichuan-7B for language tasks

State-of-art performance on language benchmarks

Hosted Qualcomm devices available

Easily deployable models

Direct SDK available

Specialized for on-device solutions

Handwritten text recognition

Real-time facial feature location

View 38 more pros

Cons

Limited platform support

Restricted to Qualcomm devices

Only uses TensorFlow Lite

No iOS deployment

Potential compatibility issues

Platform-specific optimizations

Limited device support

Dependent on Snapdragon platforms

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Q&A

What is the Qualcomm AI Hub?

Qualcomm AI Hub is a comprehensive platform that provides access to fully optimized and ready-to-deploy AI models. These models are validated and optimized by Qualcomm and take advantage of Qualcomm's AI Engine.

What are the key features of Qualcomm AI Hub?

The key features of Qualcomm AI Hub include access to fully optimized and ready-to-deploy AI models, support for on-device deployment, compatibility with diverse platforms and devices, and specific optimization for the Qualcomm AI Engine which supports CPU, GPU, and NPU acceleration. Each AI model in the hub serves a unique purpose ranging from image processing, object detection, speech denoising, to human body pose estimation.

How does Qualcomm AI Hub AI Engine support CPU, GPU, and NPU acceleration?

The Qualcomm AI Hub's AI Engine optimizes AI models to fully leverage the acceleration capabilities of a CPU, GPU, or NPU. This ensures the model's high performance and efficient execution, especially on Qualcomm-enhanced platforms and devices.

What kind of AI models does Qualcomm AI Hub offer?

Qualcomm AI Hub offers a wide variety of AI models for diverse applications. These include models such as Segment-Anything-Model, Stable-Diffusion, Whisper-Base, TrOCR, MediaPipe-Face-Detection, and more. They can be utilized for tasks like high-resolution image in-painting, real-time object detection, speech denoising, human body pose estimation, face detection, and many others.

How can we use Qualcomm AI Hub AI models on-device?

Qualcomm AI Hub's AI models can be deployed directly on-device, by making use of either TensorFlow Lite or Qualcomm AI Engine Direct. This allows the AI models to run efficiently on the device's local CPU, GPU, or NPU, thereby ensuring swift functionality and low latency.

What platforms and devices are compatible with Qualcomm AI Hub AI models?

Qualcomm AI Hub's AI models are compatible with a wide range of platforms and devices. These include various models of the Snapdragon mobile platform, numerous Samsung and Xiaomi devices, and many more. It also supports deployment on multiple generations of Snapdragon, as well as Qualcomm Robotics RB5.

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Does Qualcomm AI Hub support Android device deployment?

Yes, Qualcomm AI Hub does support Android device deployment. The AI models can be easily deployed on Android devices to run on CPU, GPU, or NPU using TensorFlow Lite or Qualcomm AI Engine Direct.

What is the functionality of the Segment-Anything-Model on Qualcomm AI Hub?

The Segment-Anything-Model on Qualcomm AI Hub is designed for generating high-quality segmentation masks around any object in an image with simple input prompts.

How does the Stable-Diffusion model in Qualcomm AI Hub work?

The Stable-Diffusion model on Qualcomm AI Hub is a state-of-the-art generative AI model. It is used to generate detailed images conditioned on text descriptions.

Can the Qualcomm AI Hub's Whisper-Base model support multilingual transcription and translation?

Yes, the Whisper-Base model on Qualcomm AI Hub supports multilingual transcription as well as translation. It's an Automatic Speech Recognition (ASR) model designed for these functionalities.

What is the use of the TrOCR model in Qualcomm AI Hub?

The TrOCR model in Qualcomm AI Hub is a transformer-based model for state-of-the-art optical character recognition (OCR). It is effective on both printed and handwritten text.

How does the MediaPipe-Face-Detection model in Qualcomm AI Hub operate?

The MediaPipe-Face-Detection model in Qualcomm AI Hub operates by detecting faces and locating facial features in real-time video and image streams.

What kind of tasks can the OpenAI-Clip model in Qualcomm AI Hub handle?

The OpenAI-Clip model in the Qualcomm AI Hub is a multi-modal foundational model. It can be used for vision and language tasks like image/text similarity and for zero-shot image classification.

Can Qualcomm AI Hub AI models be used for speech denoising?

Yes, Qualcomm AI Hub offers AI models that can be used for real-time speech denoising. For instance, the Facebook-Denoiser model is optimized for mobile and edge deployment.

Does Qualcomm AI Hub offer models for human body pose estimation?

Yes, Qualcomm AI Hub offers models for human body pose estimation. The MediaPipe-Pose-Estimation model can detect and track human body poses in real-time images and video streams.

Can Qualcomm AI Hub models be used for real-time object detection?

Yes, Qualcomm AI Hub offers models such as Yolo-v7 which are optimized for real-time object detection on both mobile and edge devices.

Are the AI models offered by Qualcomm AI Hub validated and optimized by Qualcomm?

Yes, the AI models offered by Qualcomm AI Hub are validated and optimized by Qualcomm. This ensures their reliability, efficiency and optimized performance when applied on their hardware infrastructure.

Can Qualcomm AI Hub models be used for image noise reduction and image in-painting?

Yes, Qualcomm AI Hub models can be used for both image noise reduction and high-resolution image in-painting. The ESRGAN model is an example that can upscale images and remove image noise.

Is Qualcomm AI Hub compatible with Qualcomm Robotics RB5?

Yes, Qualcomm AI Hub is compatible with Qualcomm Robotics RB5 along with a wide array of Snapdragon models and various other platforms and devices.

What is the Baichuan-7B model on Qualcomm AI Hub used for?

The Baichuan-7B model on Qualcomm AI Hub is a large language model. It is used to achieve state-of-the-art performance on Chinese and English language benchmarks.

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