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WorkflowsBlocks
Non Empty Predictions Tagger
Transformation

Use Non Empty Predictions Tagger to Build Computer Vision Pipelines and Applications

Workflows allows you to integrate Non Empty Predictions Tagger with models, logic, and applications.
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Connect Non Empty Predictions Tagger to other blocks to build a custom workflow

The `EmptyPredictionsTaggerBlock` is designed to assess and tag image batches based on the presence of predictions such as object detections, instance segmentations, or keypoint detections. This block acts as a diagnostic tool within the workflow, providing boolean outputs that indicate whether each image batch contains predictions.
Start a Workflow
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Filter

Conditionally filter and output data fields based on boolean conditions from a preceding workflow step.
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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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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.
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Detection Filter

Filter predictions from detection models based on defined conditions.
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Roboflow Object Detection Model

Detect objects using an object detection model.
Model
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Roboflow Keypoint Detection Model

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

Run an instance segmentation model.
Model
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Yolo World Model

Run a zero-shot object detection model.
Model
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LMM

Run a large language model.
Model
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Detections Consensus

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

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

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

Byte Tracker

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

Detection Offset

Apply a fixed offset on the width and height of detections.
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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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FilterTransformation

Filter

Conditionally filter and output data fields based on boolean conditions from a preceding workflow step.
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Kafka PublishTransformation

Kafka Publish

Publish data to a Kafka topic, with server connection and topic configuration, ensuring data propagation within distributed systems.
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Get Started
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Explore Popular Combinations Using Non Empty Predictions Tagger

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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.
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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.

Find Other Blocks in the Transformation Category

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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
icon modelTransformation

Kafka Publish

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

AWS Secrets Retriever

Retrieve and manage secrets from AWS Secrets Manager for use in workflow automation.
Transformation
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Random Sampler

Randomly sample images based on a specified percentage, triggering actions for selected images within workflow processes.
Transformation
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Relative Static Crop

Use relative coordinates for cropping.
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Detection Offset

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

Filter predictions from detection models based on defined conditions.
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Crop

Create dynamic crops from a detections model.
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Absolute Static Crop

Use absolute coordinates for cropping.
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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.
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