Connect YOLOv8 with Super Annotator

Build a multi-stage computer vision pipeline by connecting YOLOv8 with Super Annotator 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.

Super Annotator

Enhance images with visual annotations based on detection predictions, combining bounding boxes and labels for clarity.

The `SupervisionAnnotatorBlock` serves as a pivotal component in workflows that require visual demonstration of object detection, instance segmentation, and keypoint detection results. This block is specifically designed to annotate images by overlaying predictions directly onto them, thus enhancing the visual feedback for analysis, review, or presentation purposes.

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Use workflows with YOLOv8 and Super Annotator 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 to MQTT Publisher

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

Roboflow Instance Segmentation Model to Super Annotator

Build a computer vision workflow that connects Roboflow Instance Segmentation Model to Super Annotator.

YOLOv8 Instance Segmentation to Super Annotator

Build a computer vision workflow that connects YOLOv8 Instance Segmentation to Super Annotator.

YOLOv8 Keypoint Detection to Super Annotator

Build a computer vision workflow that connects YOLOv8 Keypoint Detection to Super Annotator.

YOLOv8 to Kafka Publish

Build a computer vision workflow that connects YOLOv8 to Kafka Publish.

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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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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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