Connect YOLOv8 Keypoint Detection with S3 Upload

Build a multi-stage computer vision pipeline by connecting YOLOv8 Keypoint Detection with S3 Upload and deploy a production application in minutes.

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YOLOv8 Keypoint Detection

YOLOv8 Keypoint Detection is a type of Roboflow Keypoint Detection Model.

Use YOLOv8 Keypoint Detection in the Roboflow Keypoint Detection Model Roboflow Workflows block.

S3 Upload

Send images and prediction files to AWS S3.

The Amazon S3 Integration block enables seamless integration with Amazon Simple Storage Service (S3), a scalable and durable cloud storage solution provided by Amazon Web Services (AWS). This block empowers you to store images and predictions to an S3 bucket directly from your workflow applications, providing a reliable and efficient solution for data storage and archival.

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Use workflows with YOLOv8 Keypoint Detection and S3 Upload in production

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Connect pre-trained models, open source models, LLM APIs, advanced logic, and external applications. Deploy as an API endpoint, on-prem, or at the edge.

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How to Build a Workflow

Learn how to use a low-code open source platform to simplify building and deploying vision AI applications.

Choose a Block

Choose from 40+ pre-built blocks that let you use custom models, open source models, LLM APIs, pre-built logic, and external applications. Blocks can be models from OpenAI or Meta AI, applications like Google Sheets or Pager Duty, and logic like filtering or cropping.

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Each block can receive inputs, execute code, and send outputs to the next block in your Workflow. You can use the drag-and-drop UI to configure connections and see the JSON definitions of what’s happening behind the scenes.

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You’ll receive an output of the final result from your Workflow and the format you want it delivered in, like JSON. Once your Workflow produces sufficient results, you can use the Workflow as a hosted API endpoint or self-host in your own cloud, on-prem, or at the edge.

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Run Workflows on-device, internet connection optional, without the headache of environment management, dependencies, and managing CUDA versions.

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Supported devices include ARM CPU, x86 CPU, NVIDIA GPU, and NVIDIA Jetson

Customize Your Pipeline

Connect models from OpenAI or Meta AI, applications like Slack or Pager Duty, and logic like filtering or cropping.

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