Workflows
YOLOv8 Keypoint Detection to CSV Sink

Connect YOLOv8 Keypoint Detection with CSV Sink

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

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.
CSV Sink

CSV Sink

Export prediction data to a CSV file for various prediction kinds, including object detection and instance segmentation.
The `CSVSinkBlock` is designed to consolidate prediction results from different types, such as object detection, instance segmentation, and keypoint detection, into a CSV file. This block serves as a sink in the workflow, meaning it is typically the final step where data is outputted after processing.

Deploy Workflows with a Hosted API or on the Edge

Use workflows with YOLOv8 Keypoint Detection and CSV Sink in production

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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.
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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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Connect Blocks

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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Deploy Workflows

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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Deploy your Workflows directly on fully managed infrastructure through an infinitely-scalable API endpoint for high volume workloads
Run Workflows on-device, internet connection optional, without the headache of environment management, dependencies, and managing CUDA versions.
Isolate dependencies in your software by using the Python SDK or HTTP API to operate and maintain your Workflows separate from other logic within your codebase
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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