Connect YOLOv8 with Azure Sink

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

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YOLOv8

YOLOv8 is a type of Roboflow Object Detection Model.

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

Azure Sink

This block sends email alerts with images and predictions.

Send email alerts with image and prediction.

Deploy Workflows with a Hosted API or on the Edge

Use workflows with YOLOv8 and Azure Sink in production

Build a Custom Vision AI Application

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

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YOLOv8 to Active Learning Data Collector

Build a computer vision workflow that connects YOLOv8 to Active Learning Data Collector.

YOLOv8 Classification to Azure Sink

Build a computer vision workflow that connects YOLOv8 Classification to Azure Sink.

YOLOv8 to MQTT Publisher

Build a computer vision workflow that connects YOLOv8 to MQTT Publisher.

YOLOv9 to Azure Sink

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

YOLOv8 Instance Segmentation to Azure Sink

Build a computer vision workflow that connects YOLOv8 Instance Segmentation to Azure Sink.

Roboflow Classification Model to Azure Sink

Build a computer vision workflow that connects Roboflow Classification Model to Azure Sink.

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.

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.

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.

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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