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WorkflowsBlocks
YOLOv8
Model

Use YOLOv8 to Build Computer Vision Pipelines and Applications

Workflows allows you to integrate YOLOv8 with models, logic, and applications.
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Connect YOLOv8 to other blocks to build a custom workflow

Use YOLOv8 in the Roboflow Object Detection Model Roboflow Workflows block.
Start a Workflow
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Filter

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

Retrieve and manage secrets from AWS Secrets Manager for use in workflow automation.
Transformation
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Relative Static Crop

Use relative coordinates for cropping.
Transformation
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Crop

Create dynamic crops from a detections model.
Transformation
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Absolute Static Crop

Use absolute coordinates for cropping.
Transformation
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LMM

Run a large language model.
Model
Model

YOLOv8

YOLOv8 is a type of Roboflow Object Detection Model.
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Serializer

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

This block send email alert with image and prediction.
Notifications
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S3 Upload

Send images and prediction files to AWS S3.
Utility
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Webhook Publish

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

Enhance images with visual annotations based on detection predictions, combining bounding boxes and labels for clarity.
Sink
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Non Empty Predictions Tagger

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

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

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

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

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

Track and update object positions across video frames using ByteTrack.
Tracker
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Detection Offset

Apply a fixed offset on the width and height of detections.
Transformation
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Detection Filter

Filter predictions from detection models based on defined conditions.
Transformation
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Crop

Create dynamic crops from a detections model.
Transformation
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Active Learning Data Collector

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

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

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.
Relative Static CropTransformation

Relative Static Crop

Use relative coordinates for cropping.
This is some text inside of a div block.
CropTransformation

Crop

Create dynamic crops from a detections model.
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.
Webhook PublishSink

Webhook Publish

Securely transmit data to specified webhooks using HMAC-SHA512 for payload authentication, ensuring data integrity and confidentiality.
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Get Started
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Explore Popular Combinations Using YOLOv8

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.

YOLOv8 to Kafka Publish

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

YOLOv8 to Azure Sink

Build a computer vision workflow that connects YOLOv8 to Azure Sink.

YOLOv8 to Webhook Publish

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

YOLOv8 to Super Annotator

Build a computer vision workflow that connects YOLOv8 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.

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YOLOv8 Keypoint Detection is a type of Roboflow Keypoint Detection Model.
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YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation is a type of Roboflow Instance Segmentation Model.
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YOLOv8 Instance Segmentation

YOLOv8 Instance Segmentation is a type of Roboflow Instance Segmentation Model.
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YOLOv5 Instance Segmentation

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

YOLOv5 is a type of Roboflow Object Detection Model.
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YOLO-NAS

YOLO-NAS is a type of Roboflow Object Detection Model.
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YOLOv9

YOLOv9 is a type of Roboflow Object Detection Model.
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Detect the location of QR codes in an image.
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Barcode Detector

Run Optical Character Recognition on a model.
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Roboflow Object Detection Model

Detect objects using an object detection model.
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Roboflow Multi Label Classification Model

Run a multi-label classification model.
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Roboflow Classification Model

Run a classification model.
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Roboflow Keypoint Detection Model

Run inference on a keypoint detection model.
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Roboflow Instance Segmentation Model

Run an instance segmentation model.
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Yolo World Model

Run a zero-shot object detection model.
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OCR Model

Run Optical Character Recognition on a model.
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LMM For Classification

Run a large language model for classification.
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LMM

Run a large language model.
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Clip Comparison

Compare CLIP image and text embeddings.
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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