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

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"
}