Connect YOLOv7 Instance Segmentation with Roboflow Classification Model

Build a multi-stage computer vision pipeline by connecting YOLOv7 Instance Segmentation with Roboflow Classification Model 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.

Roboflow Classification Model

Run a classification model.

Run inference on a multi-class classification 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/).

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Use workflows with YOLOv7 Instance Segmentation and Roboflow Classification Model 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.

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.

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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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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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