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WorkflowsBlocks
Detections Consensus
Fusion

Use Detections Consensus to Build Computer Vision Pipelines and Applications

Workflows allows you to integrate Detections Consensus with models, logic, and applications.
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GitHubDeveloper Documentation
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Apache-2.0
license

Connect Detections Consensus to other blocks to build a custom workflow

Combine detections from multiple detection-based models based on a majority vote strategy. This block is useful if you have multiple specialized models that you want to consult to determine whether a certain object is present in an image. See the table below to explore the values you can use to configure the consensus block.
Start a Workflow
icon modelTransformation

Filter

Conditionally filter and output data fields based on boolean conditions from a preceding workflow step.
Transformation
icon modelTransformation

AWS Secrets Retriever

Retrieve and manage secrets from AWS Secrets Manager for use in workflow automation.
Transformation
icon modelTracker

Byte Tracker

Track and update object positions across video frames using ByteTrack.
Tracker
icon modelModel

GPT-4 with Vision

GPT-4 with Vision is a type of LMM.
Model
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CogVLM

CogVLM is a type of LMM.
Model
icon modelModel

YOLOv8 Classification

YOLOv8 Classification is a type of Roboflow Classification Model.
Model
icon modelModel

YOLOv8 Keypoint Detection

YOLOv8 Keypoint Detection is a type of Roboflow Keypoint Detection Model.
Model
icon modelModel

YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation is a type of Roboflow Instance Segmentation Model.
Model
icon modelModel

YOLOv8 Instance Segmentation

YOLOv8 Instance Segmentation is a type of Roboflow Instance Segmentation Model.
Model
icon modelModel

YOLOv5 Instance Segmentation

YOLOv5 Instance Segmentation is a type of Roboflow Instance Segmentation Model.
Model
icon modelModel

YOLOv5

YOLOv5 is a type of Roboflow Object Detection Model.
Model
icon modelModel

YOLO-NAS

YOLO-NAS is a type of Roboflow Object Detection Model.
Model
icon modelModel

YOLOv9

YOLOv9 is a type of Roboflow Object Detection Model.
Model
icon modelModel

YOLOv8

YOLOv8 is a type of Roboflow Object Detection Model.
Model
icon modelTransformation

Detection Offset

Apply a fixed offset on the width and height of detections.
Transformation
icon modelTransformation

Detection Filter

Filter predictions from detection models based on defined conditions.
Transformation
icon modelModel

QR Code Detector

Detect the location of QR codes in an image.
Model
icon modelModel

Barcode Detector

Run Optical Character Recognition on a model.
Model
icon modelModel

Roboflow Object Detection Model

Detect objects using an object detection model.
Model
icon modelModel

Roboflow Keypoint Detection Model

Run inference on a keypoint detection model.
Model
icon modelModel

Roboflow Instance Segmentation Model

Run an instance segmentation model.
Model
icon modelModel

Yolo World Model

Run a zero-shot object detection model.
Model
icon modelModel

LMM For Classification

Run a large language model for classification.
Model
icon modelModel

LMM

Run a large language model.
Model
Fusion

Detections Consensus

Combine predictions from multiple detections models to make a decision about object presence.
icon modelSink

Serializer

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

Azure Sink

This block send email alert with image and prediction.
Notifications
icon modelUtility

S3 Upload

Send images and prediction files to AWS S3.
Utility
icon modelNotifications

SMS

Send SMS notifications through Twilio based on configurable conditions, utilizing dynamic message content and sender/receiver details.
Notifications
icon modelSink

Webhook Publish

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

Super Annotator

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

Non Empty Predictions Tagger

Tag batches of images with boolean flags indicating the presence or absence of predictions for various detection types.
Transformation
icon modelTransformation

Prediction Alarm

Monitor and trigger an alarm if the count of specified prediction classes within a defined timeframe exceeds a set threshold.
Transformation
icon modelTransformation

Filter

Conditionally filter and output data fields based on boolean conditions from a preceding workflow step.
Transformation
icon modelNotifications

Slack

Send notifications to a specified Slack channel based on conditions, using customizable message content and Slack API tokens.
Notifications
icon modelSink

CSV Sink

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

Kafka Publish

Publish data to a Kafka topic, with server connection and topic configuration, ensuring data propagation within distributed systems.
Transformation
icon modelNotifications

Pager Duty

Trigger alerts on PagerDuty based on configurable conditions, sending notifications with customized details about system events.
Notifications
icon modelTracker

Byte Tracker

Track and update object positions across video frames using ByteTrack.
Tracker
icon modelModel

GPT-4 with Vision

GPT-4 with Vision is a type of LMM.
Model
icon modelModel

CogVLM

CogVLM is a type of LMM.
Model
icon modelModel

YOLOv8 Classification

YOLOv8 Classification is a type of Roboflow Classification Model.
Model
icon modelModel

YOLOv8 Keypoint Detection

YOLOv8 Keypoint Detection is a type of Roboflow Keypoint Detection Model.
Model
icon modelModel

YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation is a type of Roboflow Instance Segmentation Model.
Model
icon modelModel

YOLOv8 Instance Segmentation

YOLOv8 Instance Segmentation is a type of Roboflow Instance Segmentation Model.
Model
icon modelModel

YOLOv5 Instance Segmentation

YOLOv5 Instance Segmentation is a type of Roboflow Instance Segmentation Model.
Model
icon modelModel

YOLOv5

YOLOv5 is a type of Roboflow Object Detection Model.
Model
icon modelModel

YOLO-NAS

YOLO-NAS is a type of Roboflow Object Detection Model.
Model
icon modelModel

YOLOv9

YOLOv9 is a type of Roboflow Object Detection Model.
Model
icon modelModel

YOLOv8

YOLOv8 is a type of Roboflow Object Detection Model.
Model
icon modelTransformation

Detection Offset

Apply a fixed offset on the width and height of detections.
Transformation
icon modelTransformation

Detection Filter

Filter predictions from detection models based on defined conditions.
Transformation
icon modelTransformation

Crop

Create dynamic crops from a detections model.
Transformation
icon modelSink

Active Learning Data Collector

Collect data and predictions that flow through workflows for use in active learning.
Sink
icon modelFlow Control

Condition

Control the flow of a workflow based on the result of a step.
Flow Control

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.
FilterTransformation

Filter

Conditionally filter and output data fields based on boolean conditions from a preceding workflow step.
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AWS Secrets RetrieverTransformation

AWS Secrets Retriever

Retrieve and manage secrets from AWS Secrets Manager for use in workflow automation.
This is some text inside of a div block.
Byte TrackerTracker

Byte Tracker

Track and update object positions across video frames using ByteTrack.
This is some text inside of a div block.
GPT-4 with VisionModel

GPT-4 with Vision

GPT-4 with Vision is a type of LMM.
This is some text inside of a div block.
SerializerSink

Serializer

Convert object detection predictions into serialized format, facilitating data transfer or storage within workflow pipelines.
This is some text inside of a div block.
Azure SinkNotifications

Azure Sink

This block send email alert with image and prediction.
This is some text inside of a div block.
S3 UploadUtility

S3 Upload

Send images and prediction files to AWS S3.
This is some text inside of a div block.
SMSNotifications

SMS

Send SMS notifications through Twilio based on configurable conditions, utilizing dynamic message content and sender/receiver details.
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Get Started
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Explore Popular Combinations Using Detections Consensus

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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.
1
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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.

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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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