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Computer Vision

Delivering generative AI for image tasks, multimodal models combining language and vision, plus object detection, image classification and more

DRIVING TRANSFORMATION WITH CV

Vision AI plays a pivotal role across an ever-increasing range of applications including medical diagnosis, insurance claims assessment, smart city management, manufacturing, retail, agriculture, advertising and more.

Graphcore hardware and software enables end-to-end computer vision workflows in the cloud - from model development to deployment - for researchers, developers and enterprise users.

How Computer vision is accelerating your industry

Today, computer vision is finding applications across every sector of the economy. From agriculture to retail, from insurance to construction, entrepreneurs are applying computer vision to a wide range of industry-specific use cases with compelling economic upside.
insurance

Insurance

CV analyzes insurance claims for damaged vehicles and homes to provide instant appraisal and claim resolution. It helps reduce cost and boosts business growth with higher customer satisfaction rates.
Healthcare

Healthcare

CV improves medical treatments and procedures, accelerates healthcare research and improves the overall patient experience, helping diagnose cancer and other disorders accurately and efficiently from X-rays and scans.
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Creative Industries

Generative AI is making a huge impact in the creative sector, opening up new avenues for creative exploration and experimentation by generating content for computer games, advertising, films, websites and much more.
agriculture

Agriculture

CV helps boost crop yields by estimating seasonal yield before the harvesting period, it detects weeds and pests to to facilitate pesticide-free food production and remotely monitors crop and stock health.
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GET STARTED WITH PRETRAINED MODELS FOR COMPUTER VISION 

Developing models on your own needs lots of training data, time, and expertise. Here’s the good news – you don’t have to be an expert to get started. Graphcore provides a number of pretrained models, already built and ready to use, to start developing your own CV solutions. Start with our Model Garden with links to pre-built CV models in our GitHub repo and ready-to-go Jupyter Notebooks, like Stable Diffusion, with zero set up required.

Check out our Developer Resources to learn about other computer vision resources, as well as other ML speech and natural language processing use cases, applications and pre-built models.

Explore Our CV Models For IPU

Stable Diffusion Text-to-Image Inference

The popular latent diffusion model for generative AI with support for text-to-image on IPUs using Hugging Face Optimum.

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YOLOv4 Inference

YOLOv4 - You Only Look Once - a convolutional neural network model that performs object detection tasks on IPUs using PyTorch.

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ViT (Vision Transformer) Fine-tuning

ViT (Vision Transformer) fine-tuning in PyTorch using Hugging Face transformers.

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Stable Diffusion Inpainting Inference

The popular latent diffusion model for generative AI with support for inpainting on IPUs using Hugging Face Optimum.

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Stable Diffusion Image-to-Image Inference

The popular latent diffusion model for generative AI with support for image-to-image on IPUs using Hugging Face Optimum.

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ResNet-50 Training

Image classification training on IPUs using the CNN (Convolutional Neural Network) model ResNet-50 with TensorFlow 1.

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EfficientNet-B0/B4 Inference

CNN (Convolutional Neural Network) image classification inference on EfficientNet with PyTorch for IPU.

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Computer Vision Resources

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