Workflows
YOLOv5 Instance Segmentation to SMS

Connect YOLOv5 Instance Segmentation with SMS

Build a multi-stage computer vision pipeline by connecting YOLOv5 Instance Segmentation with SMS and deploy a production application in minutes.
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YOLOv5 Instance Segmentation

YOLOv5 Instance Segmentation

YOLOv5 Instance Segmentation is a type of Roboflow Instance Segmentation Model.
Use YOLOv5 Instance Segmentation in the Roboflow Instance Segmentation Model Roboflow Workflows block.
SMS

SMS

Send SMS notifications through Twilio based on configurable conditions, utilizing dynamic message content and sender/receiver details.
The `SMS` block is an essential component within workflow systems, designed to facilitate immediate communication by sending SMS messages via Twilio, a popular cloud communications platform. This block is instrumental in scenarios requiring timely alerts or notifications directly to stakeholders' mobile devices.

Deploy Workflows with a Hosted API or on the Edge

Use workflows with YOLOv5 Instance Segmentation and SMS 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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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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