Connect Roboflow Object Detection Model with YOLOv8 Classification

Build a multi-stage computer vision pipeline by connecting Roboflow Object Detection Model with YOLOv8 Classification and deploy a production application in minutes.

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Roboflow Object Detection Model

Detect objects using an object detection model.

Run inference on a multi-label 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/).

YOLOv8 Classification

YOLOv8 Classification is a type of Roboflow Classification Model.

Use YOLOv8 Classification in the Roboflow Classification Model Roboflow Workflows block.

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Use workflows with Roboflow Object Detection Model and YOLOv8 Classification 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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YOLOv8 Classification to Webhook Publish

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Roboflow Object Detection Model to Kafka Publish

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YOLOv8 Classification to MQTT Publisher

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

Roboflow Object Detection Model to CSV Sink

Build a computer vision workflow that connects Roboflow Object Detection Model to CSV Sink.

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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.

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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.

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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