Premium

Enterprise

Use Super Annotator to Build Computer Vision Pipelines and Applications

Connect Super Annotator to other blocks to build a custom workflow.

Build a Workflow

16,000+ organizations build with Roboflow

Filter

AWS Secrets Retriever

Roboflow Object Detection Model

Roboflow Keypoint Detection Model

Roboflow Instance Segmentation Model

Yolo World Model

LMM

Detections Consensus

Super Annotator

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

Webhook Publish

Filter

Kafka Publish

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.

Workflow Templates

Explore pre-made templates for specific use cases.

Roboflow Object Detection Model
Super Annotator

Detect vehicles in an image or video

Add to workspace

Roboflow Object Detection Model
Super Annotator

Detect fish

Add to workspace

Roboflow Object Detection Model
Super Annotator

Detect potholes

Add to workspace

Yolo World Model
Super Annotator

Detect common animals

Add to workspace

Roboflow Object Detection Model
Super Annotator

Remove the background from an image

Add to workspace

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Explore Popular Combinations Using Super Annotator

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.

YOLOv5 Instance Segmentation to Super Annotator

Build a computer vision workflow that connects YOLOv5 Instance Segmentation to Super Annotator.

Roboflow Classification Model to Super Annotator

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

YOLO-NAS to Super Annotator

Build a computer vision workflow that connects YOLO-NAS 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.

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.

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.

Find Other Blocks in the Sink Category

Serializer

Convert object detection predictions into serialized format, facilitating data transfer or storage within workflow pipelines.

Sink

MQTT Publisher

Publish serialized data payloads to an MQTT broker, handling connection management and error reporting.

Sink

Webhook Publish

Securely transmit data to specified webhooks using HMAC-SHA512 for payload authentication, ensuring data integrity and confidentiality.

Sink

CSV Sink

Export prediction data to a CSV file for various prediction kinds, including object detection and instance segmentation.

Sink

Active Learning Data Collector

Collect data and predictions that flow through workflows for use in active learning.

Sink

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