Perception Encoder Embedding Model

Class: PerceptionEncoderModelBlockV1

Source: inference.core.workflows.core_steps.models.foundation.perception_encoder.v1.PerceptionEncoderModelBlockV1

Use the Meta Perception Encoder model to create semantic embeddings of text and images.

This block accepts an image or string and returns an embedding. The embedding can be used to compare similarity between different images or between images and text.

Type identifier

Use the following identifier in step "type" field: roboflow_core/perception_encoder@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Unique name of step in workflows.	❌
data	str	The string or image to generate an embedding for..	✅
version	str	Variant of Perception Encoder model.	✅

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to Perception Encoder Embedding Model in version v1.

• inputs: Roboflow Dataset Upload, Triangle Visualization, Morphological Transformation, Ellipse Visualization, LMM, Florence-2 Model, Blur Visualization, Anthropic Claude, Halo Visualization, Google Gemini, Camera Focus, Llama 3.2 Vision, Model Comparison Visualization, Keypoint Visualization, Pixelate Visualization, Image Slicer, Stitch OCR Detections, Roboflow Dataset Upload, Line Counter Visualization, Label Visualization, SIFT Comparison, QR Code Generator, Email Notification, Slack Notification, Florence-2 Model, CSV Formatter, EasyOCR, Corner Visualization, Object Detection Model, Image Slicer, Anthropic Claude, OpenAI, Google Gemini, Bounding Box Visualization, Keypoint Detection Model, Anthropic Claude, Background Subtraction, Background Color Visualization, Image Convert Grayscale, Camera Calibration, Polygon Visualization, Image Blur, VLM As Classifier, Relative Static Crop, Clip Comparison, Heatmap Visualization, CogVLM, Mask Visualization, Image Preprocessing, Twilio SMS Notification, VLM As Detector, OpenAI, OCR Model, SIFT, Stitch Images, Stability AI Outpainting, Stitch OCR Detections, Dynamic Crop, Model Monitoring Inference Aggregator, Circle Visualization, OpenAI, Color Visualization, Trace Visualization, Icon Visualization, Dot Visualization, Email Notification, Instance Segmentation Model, Camera Focus, Twilio SMS/MMS Notification, Depth Estimation, LMM For Classification, Roboflow Custom Metadata, Contrast Equalization, Grid Visualization, Text Display, Reference Path Visualization, Image Threshold, Multi-Label Classification Model, Perspective Correction, Image Contours, Polygon Zone Visualization, Local File Sink, Polygon Visualization, Halo Visualization, Google Vision OCR, Stability AI Inpainting, Crop Visualization, Google Gemini, Webhook Sink, Absolute Static Crop, Classification Label Visualization, OpenAI, Single-Label Classification Model, Stability AI Image Generation
• outputs: Identify Changes, Identify Outliers, Cosine Similarity

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Perception Encoder Embedding Model in version v1 has.

Bindings

• input

  • data (Union[image, string]): The string or image to generate an embedding for..
  • version (string): Variant of Perception Encoder model.

• output

  • embedding (embedding): A list of floating point numbers representing a vector embedding..

Example JSON definition of step Perception Encoder Embedding Model in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/perception_encoder@v1",
    "data": "$inputs.image",
    "version": "PE-Core-B16-224"
}