Roboflow Asset Library Attributes¶
Class: RoboflowAssetLibraryAttributesBlockV1
Submit attribute and tag updates for existing Asset Library images, enabling enrichment workflows where model outputs become filterable image fields.
How This Block Works¶
This block submits key-value attributes and tags for existing Asset Library images in your Roboflow workspace. Attribute values are stored as image metadata. The block:
- Receives Asset Library source image IDs, optional attributes, and optional tags
- Resolves the target workspace from the configured Roboflow API key
- Skips rows where both attributes and tags are empty
- Merges duplicate source IDs using sequential semantics: later attribute values win, and tags are added as a de-duplicated set
- Submits one batch update request and returns one submission status per input source ID, in input order
Re-running the same workflow against the same source IDs is safe: attribute keys are upserted (last write wins) and tags are unioned. There is no destructive write.
The block does not send image bytes and does not create new images. It only updates existing Asset Library source images. Removing attribute keys, removing tags, writing annotations, and creating images are intentionally out of scope for this workflow block.
Requirements¶
This block requires a valid Roboflow API key. The API key determines the workspace whose Asset Library images can be updated.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/asset_library_attributes@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
source_id |
str |
Asset Library source image ID to update. For batch workflows, provide one source ID per image.. | ✅ |
metadata |
Dict[str, Union[bool, float, int, str]] |
Optional key-value attributes to set on the Asset Library image. Attributes are stored as image metadata. Either an inline dict whose values may be static or selector references (e.g. $inputs.camera_id), or a whole-field selector to a per-row dict produced by an upstream step.. |
✅ |
tags |
List[str] |
Optional tags to add to the Asset Library image. Each entry may be a static string or a reference to a workflow input/step (e.g. $inputs.label).. |
✅ |
disable_sink |
bool |
If True, the block execution is disabled and no Asset Library attribute writes occur.. | ✅ |
The Refs column marks possibility to parametrise the property with dynamic values available
in workflow runtime. See Bindings for more info.
Runtime compatibility¶
-
requires_internet— air-gapped / offline deployments - This block depends on a service that is not reachable from fully offline / air-gapped deployments.
Available Connections¶
Compatible Blocks
Check what blocks you can connect to Roboflow Asset Library Attributes in version v1.
- inputs:
Crop Visualization,Image Slicer,ByteTrack Tracker,Google Gemini,SAM 3 Interactive,Time in Zone,Velocity,Image Slicer,Template Matching,Pixel Color Count,Multi-Label Classification Model,SIFT Comparison,Mask Area Measurement,Morphological Transformation,Background Subtraction,BoT-SORT Tracker,Ellipse Visualization,MoonshotAI Kimi,Multi-Label Classification Model,SAM 3,Grid Visualization,PLC ModbusTCP,Semantic Segmentation Model,Google Gemma,Byte Tracker,Overlap Filter,OpenAI,Multi-Label Classification Model,Path Deviation,Depth Estimation,Image Preprocessing,OPC UA Writer Sink,Detections Stabilizer,QR Code Detection,Stitch Images,Google Vision OCR,OpenAI,QR Code Generator,Florence-2 Model,Polygon Zone Visualization,Detection Offset,Cache Set,Contrast Equalization,VLM As Classifier,Clip Comparison,Pixelate Visualization,SORT Tracker,Qwen 3.6 API,Dot Visualization,Stability AI Outpainting,Byte Tracker,Keypoint Visualization,Anthropic Claude,PP-OCR,Anthropic Claude,Image Stack,Roboflow Visual Search Classifier,PTZ Tracking (ONVIF),Semantic Segmentation Model,Image Threshold,First Non Empty Or Default,JSON Parser,S3 Sink,MQTT Writer,Qwen-VL,CLIP Embedding Model,Stitch OCR Detections,Detections Consensus,SIFT,Nearest Neighbor Detection Match,Stitch OCR Detections,Auto Rotate on Edges,Time in Zone,VLM As Classifier,Instance Segmentation Model,Dimension Collapse,Trace Visualization,Seg Preview,EasyOCR,Camera Focus,Google Gemma API,PLC EthernetIP,Property Definition,OC-SORT Tracker,MoonshotAI Kimi,Distance Measurement,Data Aggregator,Blur Visualization,Path Deviation,Image Convert Grayscale,Microsoft SQL Server Sink,Barcode Detection,Moondream2,Clip Comparison,Dynamic Zone,Reference Path Visualization,Email Notification,Roboflow Visual Search,Environment Secrets Store,Rate Limiter,Keypoint Detection Model,Contrast Enhancement,GLM-OCR,Byte Tracker,Camera Focus,Heatmap Visualization,Roboflow Vision Events,OpenAI-Compatible LLM,Qwen2.5-VL,Label Visualization,Buffer,Single-Label Classification Model,Keypoint Detection Model,Detections Merge,Detections Filter,Line Counter,Anthropic Claude,Detection Event Log,Roboflow Dataset Upload,Instance Segmentation Model,Classification Label Visualization,Mask Edge Snap,Dynamic Crop,Per-Class Confidence Filter,Detections Transformation,Absolute Static Crop,Detections Classes Replacement,Overlap Analysis,Current Time,Expression,Cache Get,Roboflow Custom Metadata,Line Counter Visualization,OpenAI,Bounding Box Visualization,Morphological Transformation,Segment Anything 2 Model,Perception Encoder Embedding Model,Object Detection Model,Cosmos 3,Motion Detection,Cosine Similarity,Webhook Sink,VLM As Detector,Size Measurement,Bounding Rectangle,Single-Label Classification Model,SAM 3,Roboflow Dataset Upload,OpenAI,SAM2 Video Tracker,Qwen3.5,Camera Calibration,Qwen3-VL,SAM3 Video Tracker,Detections List Roll-Up,PLC Writer,CSV Formatter,Detections Stitch,Track Class Lock,Triangle Visualization,Stability AI Image Generation,Icon Visualization,Relative Static Crop,VLM As Detector,OCR Model,SAM 3,GeoTag Detection,Qwen 3.5 API,Halo Visualization,OpenRouter,Frame Delay,Local File Sink,Text Display,Roboflow Asset Library Attributes,LMM,Image Blur,Gaze Detection,Inner Workflow,Color Visualization,Corner Visualization,Continue If,Instance Segmentation Model,Google Gemini,Slack Notification,Event Writer,Identify Outliers,Google Gemini,Twilio SMS Notification,Single-Label Classification Model,Perspective Correction,Object Detection Model,Instance Segmentation Model,Twilio SMS/MMS Notification,Polygon Visualization,Model Monitoring Inference Aggregator,Stability AI Inpainting,Florence-2 Model,Qwen3.5-VL,Dominant Color,Delta Filter,Mask Visualization,Polygon Visualization,SIFT Comparison,Switch Case,Halo Visualization,SmolVLM2,Llama 3.2 Vision,Detections Combine,CogVLM,Circle Visualization,Image Contours,Line Counter,Llama 3.2 Vision,YOLO-World Model,Time in Zone,Background Color Visualization,Keypoint Detection Model,PLC Reader,Model Comparison Visualization,LMM For Classification,Object Detection Model,Email Notification,Identify Changes - outputs:
Crop Visualization,Roboflow Dataset Upload,Instance Segmentation Model,Google Gemini,Classification Label Visualization,Dynamic Crop,SAM 3 Interactive,Time in Zone,Detections Classes Replacement,Template Matching,Cache Get,Current Time,Pixel Color Count,Roboflow Custom Metadata,Multi-Label Classification Model,SIFT Comparison,Morphological Transformation,Line Counter Visualization,BoT-SORT Tracker,Ellipse Visualization,OpenAI,Multi-Label Classification Model,MoonshotAI Kimi,SAM 3,Segment Anything 2 Model,Bounding Box Visualization,Semantic Segmentation Model,Google Gemma,Morphological Transformation,Perception Encoder Embedding Model,Object Detection Model,Motion Detection,Cosmos 3,OpenAI,Multi-Label Classification Model,Webhook Sink,Path Deviation,Size Measurement,Depth Estimation,Image Preprocessing,OPC UA Writer Sink,Single-Label Classification Model,SAM 3,Roboflow Dataset Upload,OpenAI,Camera Calibration,Google Vision OCR,OpenAI,QR Code Generator,Florence-2 Model,Polygon Zone Visualization,Contrast Equalization,Cache Set,SAM3 Video Tracker,Pixelate Visualization,Qwen 3.6 API,PLC Writer,Detections Stitch,Triangle Visualization,Stability AI Image Generation,Icon Visualization,Dot Visualization,Stability AI Outpainting,Keypoint Visualization,Anthropic Claude,Anthropic Claude,Image Stack,Roboflow Visual Search Classifier,SAM 3,PTZ Tracking (ONVIF),Qwen 3.5 API,Halo Visualization,OpenRouter,Local File Sink,Text Display,Roboflow Asset Library Attributes,LMM,Image Threshold,Gaze Detection,Color Visualization,Image Blur,Corner Visualization,S3 Sink,MQTT Writer,Qwen-VL,Instance Segmentation Model,CLIP Embedding Model,Google Gemini,Slack Notification,Stitch OCR Detections,Event Writer,Detections Consensus,Nearest Neighbor Detection Match,Stitch OCR Detections,Google Gemini,Time in Zone,Auto Rotate on Edges,Instance Segmentation Model,Twilio SMS Notification,Single-Label Classification Model,Trace Visualization,Perspective Correction,Seg Preview,Google Gemma API,Object Detection Model,Instance Segmentation Model,MoonshotAI Kimi,Distance Measurement,Twilio SMS/MMS Notification,Blur Visualization,Path Deviation,LMM For Classification,Polygon Visualization,Model Monitoring Inference Aggregator,Stability AI Inpainting,Microsoft SQL Server Sink,Florence-2 Model,Qwen3.5-VL,Moondream2,Clip Comparison,Dynamic Zone,Mask Visualization,Reference Path Visualization,Email Notification,Polygon Visualization,Roboflow Visual Search,Halo Visualization,Keypoint Detection Model,Llama 3.2 Vision,GLM-OCR,CogVLM,Circle Visualization,Heatmap Visualization,Roboflow Vision Events,Line Counter,Llama 3.2 Vision,YOLO-World Model,OpenAI-Compatible LLM,Label Visualization,Time in Zone,Background Color Visualization,Keypoint Detection Model,Single-Label Classification Model,Model Comparison Visualization,Keypoint Detection Model,Line Counter,Object Detection Model,Email Notification,Anthropic Claude
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Roboflow Asset Library Attributes in version v1 has.
Bindings
-
input
source_id(string): Asset Library source image ID to update. For batch workflows, provide one source ID per image..metadata(Union[*,dictionary]): Optional key-value attributes to set on the Asset Library image. Attributes are stored as image metadata. Either an inline dict whose values may be static or selector references (e.g.$inputs.camera_id), or a whole-field selector to a per-row dict produced by an upstream step..tags(Union[list_of_values,string]): Optional tags to add to the Asset Library image. Each entry may be a static string or a reference to a workflow input/step (e.g.$inputs.label)..disable_sink(boolean): If True, the block execution is disabled and no Asset Library attribute writes occur..
-
output
Example JSON definition of step Roboflow Asset Library Attributes in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/asset_library_attributes@v1",
"source_id": "$inputs.source_id",
"metadata": {
"color": "red",
"score": 0.98
},
"tags": [
"auto-labeled",
"red"
],
"disable_sink": false
}