Connect YOLOv7 Instance Segmentation with Azure Sink

Build a multi-stage computer vision pipeline by connecting YOLOv7 Instance Segmentation with Azure Sink and deploy a production application in minutes.

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YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation is a type of Roboflow Instance Segmentation Model.

Use YOLOv7 Instance Segmentation in the Roboflow Instance Segmentation Model Roboflow Workflows block.

Azure Sink

This block sends email alerts with images and predictions.

Send email alerts with image and prediction.

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Use workflows with YOLOv7 Instance Segmentation and Azure Sink 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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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.

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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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