Use YOLOv9 to Build Computer Vision Pipelines and Applications

Workflows allows you to integrate YOLOv9 with models, logic, and applications.
16,000+ organizations build with Roboflow

Connect YOLOv9 to other blocks to build a custom workflow

Use YOLOv9 in the Roboflow Object Detection Model Roboflow Workflows block.
Model

YOLOv9

YOLOv9 is a type of Roboflow Object Detection Model.
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Explore Popular Combinations Using YOLOv9

YOLOv9 to Active Learning Data Collector

Build a computer vision workflow that connects YOLOv9 to Active Learning Data Collector.

YOLOv9 to Kafka Publish

Build a computer vision workflow that connects YOLOv9 to Kafka Publish.

YOLOv9 to CSV Sink

Build a computer vision workflow that connects YOLOv9 to CSV Sink.

YOLOv9 to Azure Sink

Build a computer vision workflow that connects YOLOv9 to Azure Sink.

YOLOv9 to Webhook Publish

Build a computer vision workflow that connects YOLOv9 to Webhook Publish.

YOLOv9 to SMS

Build a computer vision workflow that connects YOLOv9 to SMS.

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.

Find Other Blocks in the Model Category

Deploy Workflows at Scale

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.
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