Workflows
YOLO-NAS to Super Annotator

Connect YOLO-NAS with Super Annotator

Build a multi-stage computer vision pipeline by connecting YOLO-NAS with Super Annotator and deploy a production application in minutes.
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YOLO-NAS

YOLO-NAS

YOLO-NAS is a type of Roboflow Object Detection Model.
Use YOLO-NAS in the Roboflow Object Detection Model Roboflow Workflows block.
Super Annotator

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.

Deploy Workflows with a Hosted API or on the Edge

Use workflows with YOLO-NAS and Super Annotator in production

Explore Popular Combinations

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YOLO-NAS to Active Learning Data Collector

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Roboflow Instance Segmentation Model to Super Annotator

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

Build a computer vision workflow that connects YOLOv8 Instance Segmentation to Super Annotator.
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YOLO-NAS to Kafka Publish

Build a computer vision workflow that connects YOLO-NAS to Kafka Publish.
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YOLO-NAS to CSV Sink

Build a computer vision workflow that connects YOLO-NAS to CSV Sink.
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YOLOv8 Keypoint Detection to Super Annotator

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

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.

Deploy Workflows at Scale

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.
View All Blocks