Connect Roboflow Keypoint Detection Model to other blocks to build a custom workflow
Run inference on a keypoint detection model hosted on or uploaded to Roboflow.
You can query any model that is private to your account, or any public model available
on [Roboflow Universe](https://universe.roboflow.com).
You will need to set your Roboflow API key in your Inference environment to use this
block. To learn more about setting your Roboflow API key, [refer to the Inference
documentation](https://inference.roboflow.com/quickstart/configure_api_key/).
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.
Explore Popular Combinations Using Roboflow Keypoint Detection Model
Roboflow Keypoint Detection Model to MQTT Publisher
Build a computer vision workflow that connects Roboflow Keypoint Detection Model to MQTT Publisher.
Roboflow Keypoint Detection Model to Kafka Publish
Build a computer vision workflow that connects Roboflow Keypoint Detection Model to Kafka Publish.
Roboflow Keypoint Detection Model to CSV Sink
Build a computer vision workflow that connects Roboflow Keypoint Detection Model to CSV Sink.
Roboflow Keypoint Detection Model to Azure Sink
Build a computer vision workflow that connects Roboflow Keypoint Detection Model to Azure Sink.
Roboflow Keypoint Detection Model to Super Annotator
Build a computer vision workflow that connects Roboflow Keypoint Detection Model to Super Annotator.
Roboflow Keypoint Detection Model to Webhook Publish
Build a computer vision workflow that connects Roboflow Keypoint Detection Model to Webhook Publish.
How to Build a Workflow
Learn how to use a low-code open source platform to simplify building and deploying vision AI applications.
1
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.
2
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.
3
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.
Roboflow powers millions of daily inferences for the world’s largest enterprises on-device and in the cloud
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.
