Dimension Collapse

Class: DimensionCollapseBlockV1

Source: inference.core.workflows.core_steps.fusion.dimension_collapse.v1.DimensionCollapseBlockV1

Takes multiple step outputs at data depth level n, concatenate them into list and reduce dimensionality to level n-1.

Useful in scenarios like: * aggregation of classification results for dynamically cropped images * aggregation of OCR results for dynamically cropped images

Type identifier

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

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌

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 Dimension Collapse in version v1.

• inputs: Label Visualization, Blur Visualization, Background Color Visualization, Contrast Equalization, Detections Filter, Reference Path Visualization, Stability AI Outpainting, Image Slicer, Pixelate Visualization, Single-Label Classification Model, Clip Comparison, CSV Formatter, Perception Encoder Embedding Model, Seg Preview, Overlap Filter, Image Preprocessing, Rate Limiter, Color Visualization, SIFT Comparison, Email Notification, Cache Set, Dominant Color, Property Definition, Circle Visualization, Object Detection Model, QR Code Detection, Moondream2, VLM as Classifier, Model Monitoring Inference Aggregator, OCR Model, Absolute Static Crop, Path Deviation, LMM, Time in Zone, Morphological Transformation, Gaze Detection, Detections Consensus, Crop Visualization, OpenAI, Florence-2 Model, Barcode Detection, Classification Label Visualization, Byte Tracker, Segment Anything 2 Model, Cosine Similarity, SIFT Comparison, Time in Zone, YOLO-World Model, PTZ Tracking (ONVIF).md), Detection Offset, Icon Visualization, Detections Transformation, Distance Measurement, Data Aggregator, VLM as Detector, Line Counter Visualization, Grid Visualization, Halo Visualization, Size Measurement, Dynamic Zone, Time in Zone, Twilio SMS Notification, Detections Stitch, Llama 3.2 Vision, Image Blur, Velocity, Slack Notification, Byte Tracker, OpenAI, First Non Empty Or Default, Multi-Label Classification Model, Image Slicer, OpenAI, Environment Secrets Store, Dynamic Crop, Pixel Color Count, Detections Merge, Mask Visualization, Stitch Images, SIFT, Google Vision OCR, LMM For Classification, Keypoint Visualization, Bounding Box Visualization, SAM 3, Byte Tracker, SAM 3, Qwen2.5-VL, Object Detection Model, Path Deviation, Detections Combine, Anthropic Claude, Image Contours, Polygon Zone Visualization, Ellipse Visualization, Line Counter, Clip Comparison, Email Notification, Expression, Depth Estimation, Roboflow Dataset Upload, Image Convert Grayscale, CogVLM, Roboflow Custom Metadata, SAM 3, VLM as Detector, Multi-Label Classification Model, Buffer, Stitch OCR Detections, Keypoint Detection Model, Bounding Rectangle, Keypoint Detection Model, Line Counter, JSON Parser, Camera Calibration, CLIP Embedding Model, Polygon Visualization, Detections Classes Replacement, Cache Get, Identify Changes, Triangle Visualization, Template Matching, Roboflow Dataset Upload, Anthropic Claude, Model Comparison Visualization, Corner Visualization, Florence-2 Model, Google Gemini, Google Gemini, EasyOCR, Delta Filter, SmolVLM2, Stability AI Image Generation, Identify Outliers, QR Code Generator, Relative Static Crop, Dot Visualization, Dimension Collapse, Continue If, Local File Sink, Instance Segmentation Model, Stability AI Inpainting, Single-Label Classification Model, Camera Focus, Detections Stabilizer, Webhook Sink, Image Threshold, Instance Segmentation Model, Perspective Correction, OpenAI, VLM as Classifier, Trace Visualization
• outputs: Label Visualization, LMM For Classification, Keypoint Visualization, Bounding Box Visualization, Reference Path Visualization, Clip Comparison, SAM 3, Seg Preview, SAM 3, Color Visualization, Object Detection Model, Path Deviation, Email Notification, Cache Set, Anthropic Claude, Circle Visualization, Object Detection Model, Polygon Zone Visualization, Line Counter, Ellipse Visualization, Email Notification, Clip Comparison, VLM as Classifier, Path Deviation, Time in Zone, Roboflow Dataset Upload, Detections Consensus, Crop Visualization, OpenAI, Florence-2 Model, VLM as Detector, SAM 3, Classification Label Visualization, Buffer, Keypoint Detection Model, Keypoint Detection Model, Time in Zone, Line Counter, Polygon Visualization, YOLO-World Model, Triangle Visualization, Roboflow Dataset Upload, Anthropic Claude, Corner Visualization, Florence-2 Model, Google Gemini, Google Gemini, VLM as Detector, Line Counter Visualization, Grid Visualization, Halo Visualization, Size Measurement, Time in Zone, Dot Visualization, Llama 3.2 Vision, Instance Segmentation Model, OpenAI, Webhook Sink, Instance Segmentation Model, VLM as Classifier, Mask Visualization, Perspective Correction, OpenAI, Trace Visualization

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Dimension Collapse in version v1 has.

Bindings

• input

  • data (*): Reference to step outputs at depth level n to be concatenated and moved into level n-1..

• output

  • output (list_of_values): List of values of any type.

Example JSON definition of step Dimension Collapse in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/dimension_collapse@v1",
    "data": "$steps.ocr_step.results"
}