Multi-Label Classification Model¶
v3¶
Class: RoboflowMultiLabelClassificationModelBlockV3 (there are multiple versions of this block)
Warning: This block has multiple versions. Please refer to the specific version for details. You can learn more about how versions work here: Versioning
Run inference on a multi-label classification model hosted on or uploaded to Roboflow.
You can query any model that is private to your account, or any public model available on Roboflow Universe.
You will need to set your Roboflow API key in your Inference environment to use this block. To learn more about setting your Roboflow API key, refer to the Inference documentation.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/roboflow_multi_label_classification_model@v3to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
model_id |
str |
Roboflow model identifier.. | ✅ |
confidence_mode |
str |
How to determine the confidence threshold.. | ✅ |
custom_confidence |
float |
Custom confidence threshold for predictions.. | ✅ |
disable_active_learning |
bool |
Boolean flag to disable project-level active learning for this block.. | ✅ |
active_learning_target_dataset |
str |
Target dataset for active learning, if enabled.. | ✅ |
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 Multi-Label Classification Model in version v3.
- inputs:
PLC Writer,Image Blur,Crop Visualization,VLM As Detector,Polygon Visualization,Object Detection Model,Roboflow Visual Search Classifier,Image Slicer,Qwen3.5-VL,Image Convert Grayscale,Webhook Sink,Semantic Segmentation Model,VLM As Classifier,Motion Detection,Keypoint Detection Model,SIFT,Slack Notification,Label Visualization,MoonshotAI Kimi,PLC Reader,Stitch OCR Detections,Label Visualization,Instance Segmentation Model,S3 Sink,Keypoint Detection Model,Email Notification,Single-Label Classification Model,Background Subtraction,Ellipse Visualization,Stitch Images,OPC UA Writer Sink,CSV Formatter,Corner Visualization,Triangle Visualization,Qwen-VL,JSON Parser,Camera Calibration,Google Gemini,Polygon Zone Visualization,Roboflow Custom Metadata,LMM For Classification,Camera Focus,PP-OCR,SIFT Comparison,Trace Visualization,Color Visualization,Object Detection Model,Local File Sink,Llama 3.2 Vision,Llama 3.2 Vision,Morphological Transformation,Dynamic Zone,Google Vision OCR,Google Gemma API,Google Gemma,Microsoft SQL Server Sink,Polygon Visualization,Icon Visualization,Rich Label Visualization,Identify Changes,Twilio SMS/MMS Notification,Keypoint Visualization,Image Slicer,OpenAI,Clip Comparison,OpenAI,Keypoint Detection Model,Object Detection Model,Qwen 3.6 API,Instance Segmentation Model,Single-Label Classification Model,Mask Visualization,OpenAI,OpenAI-Compatible LLM,Instance Segmentation Model,Roboflow Visual Search,VLM As Detector,Stability AI Outpainting,Blur Visualization,Multi-Label Classification Model,Frame Delay,Bounding Box Visualization,Absolute Static Crop,Roboflow Dataset Upload,Reference Path Visualization,OpenAI,Anthropic Claude,Google Gemini,Event Writer,Stitch OCR Detections,CogVLM,VLM As Classifier,Email Notification,Contrast Enhancement,Current Time,Perspective Correction,Halo Visualization,Semantic Segmentation Model,Multi-Label Classification Model,Dynamic Crop,OpenRouter,Detections Consensus,OCR Model,Halo Visualization,Line Counter Visualization,Roboflow Asset Library Attributes,Multi-Label Classification Model,LMM,Relative Static Crop,Depth Estimation,SIFT Comparison,Dot Visualization,GLM-OCR,Florence-2 Model,EasyOCR,Background Color Visualization,Google Gemini,Image Contours,Roboflow Dataset Upload,Qwen 3.5 API,MoonshotAI Kimi,Stability AI Inpainting,Contrast Equalization,Morphological Transformation,Image Threshold,Camera Focus,Stability AI Image Generation,Instance Segmentation Model,Circle Visualization,QR Code Generator,Google Gemini,Model Monitoring Inference Aggregator,Single-Label Classification Model,Roboflow Vision Events,Heatmap Visualization,Twilio SMS Notification,Auto Rotate on Edges,Cosmos 3,MQTT Writer,Anthropic Claude,Image Preprocessing,Anthropic Claude,Text Display,Grid Visualization,Model Comparison Visualization,Florence-2 Model,Identify Outliers,PTZ Tracking (ONVIF),Classification Label Visualization,Pixelate Visualization - outputs:
Multi-Label Classification Model,Qwen3.5,Roboflow Custom Metadata,Roboflow Dataset Upload,Roboflow Dataset Upload,Object Detection Model,Event Writer,Object Detection Model,Qwen3.5-VL,SAM 3,SAM3 Video Tracker,Instance Segmentation Model,Webhook Sink,Semantic Segmentation Model,SAM2 Video Tracker,Detections Classes Replacement,Model Monitoring Inference Aggregator,Roboflow Vision Events,Single-Label Classification Model,Keypoint Detection Model,Cosmos 3,Semantic Segmentation Model,SAM 3,Multi-Label Classification Model,Qwen2.5-VL,Instance Segmentation Model,Qwen3-VL,Object Detection Model,Keypoint Detection Model,Keypoint Detection Model,Multi-Label Classification Model,Instance Segmentation Model,Single-Label Classification Model,Single-Label Classification Model,Moondream2,Classification Label Visualization,SmolVLM2,Instance Segmentation Model,Qwen-VL,SAM 3,GLM-OCR
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Multi-Label Classification Model in version v3 has.
Bindings
-
input
images(image): The image to infer on..model_id(roboflow_model_id): Roboflow model identifier..confidence_mode(string): How to determine the confidence threshold..custom_confidence(float_zero_to_one): Custom confidence threshold for predictions..disable_active_learning(boolean): Boolean flag to disable project-level active learning for this block..active_learning_target_dataset(roboflow_project): Target dataset for active learning, if enabled..
-
output
predictions(classification_prediction): Predictions from classifier.inference_id(inference_id): Inference identifier.model_id(roboflow_model_id): Roboflow model id.
Example JSON definition of step Multi-Label Classification Model in version v3
{
"name": "<your_step_name_here>",
"type": "roboflow_core/roboflow_multi_label_classification_model@v3",
"images": "$inputs.image",
"model_id": "my_project/3",
"confidence_mode": "<block_does_not_provide_example>",
"custom_confidence": 0.3,
"disable_active_learning": true,
"active_learning_target_dataset": "my_project"
}
v2¶
Class: RoboflowMultiLabelClassificationModelBlockV2 (there are multiple versions of this block)
Warning: This block has multiple versions. Please refer to the specific version for details. You can learn more about how versions work here: Versioning
Run inference on a multi-label classification model hosted on or uploaded to Roboflow.
You can query any model that is private to your account, or any public model available on Roboflow Universe.
You will need to set your Roboflow API key in your Inference environment to use this block. To learn more about setting your Roboflow API key, refer to the Inference documentation.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/roboflow_multi_label_classification_model@v2to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
model_id |
str |
Roboflow model identifier.. | ✅ |
confidence |
float |
Confidence threshold for predictions.. | ✅ |
disable_active_learning |
bool |
Boolean flag to disable project-level active learning for this block.. | ✅ |
active_learning_target_dataset |
str |
Target dataset for active learning, if enabled.. | ✅ |
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 Multi-Label Classification Model in version v2.
- inputs:
PLC Writer,Image Blur,Stability AI Outpainting,Blur Visualization,Multi-Label Classification Model,Frame Delay,Bounding Box Visualization,Absolute Static Crop,Crop Visualization,Reference Path Visualization,Roboflow Dataset Upload,Polygon Visualization,Object Detection Model,VLM As Detector,Roboflow Visual Search Classifier,Event Writer,Image Slicer,Image Convert Grayscale,VLM As Classifier,Email Notification,Webhook Sink,Contrast Enhancement,Semantic Segmentation Model,VLM As Classifier,Perspective Correction,Motion Detection,Keypoint Detection Model,Halo Visualization,SIFT,Semantic Segmentation Model,Slack Notification,Label Visualization,Dynamic Crop,PLC Reader,Detections Consensus,Label Visualization,Instance Segmentation Model,S3 Sink,Halo Visualization,Line Counter Visualization,Keypoint Detection Model,Email Notification,Roboflow Asset Library Attributes,Multi-Label Classification Model,Single-Label Classification Model,Background Subtraction,Ellipse Visualization,Stitch Images,OPC UA Writer Sink,Relative Static Crop,Corner Visualization,Triangle Visualization,Depth Estimation,SIFT Comparison,JSON Parser,Dot Visualization,Camera Calibration,Background Color Visualization,Polygon Zone Visualization,Image Contours,Roboflow Custom Metadata,Roboflow Dataset Upload,Camera Focus,Stability AI Inpainting,Contrast Equalization,Morphological Transformation,SIFT Comparison,Image Threshold,Trace Visualization,Color Visualization,Object Detection Model,Camera Focus,Local File Sink,Stability AI Image Generation,Instance Segmentation Model,Circle Visualization,QR Code Generator,Morphological Transformation,Dynamic Zone,Model Monitoring Inference Aggregator,Single-Label Classification Model,Roboflow Vision Events,Heatmap Visualization,Twilio SMS Notification,Auto Rotate on Edges,Polygon Visualization,Microsoft SQL Server Sink,MQTT Writer,Icon Visualization,Rich Label Visualization,Identify Changes,Twilio SMS/MMS Notification,Keypoint Visualization,Image Preprocessing,Image Slicer,Clip Comparison,Text Display,Pixelate Visualization,Grid Visualization,Model Comparison Visualization,Identify Outliers,PTZ Tracking (ONVIF),Mask Visualization,Classification Label Visualization,Instance Segmentation Model,Roboflow Visual Search,VLM As Detector - outputs:
Multi-Label Classification Model,Qwen3.5,Roboflow Custom Metadata,Roboflow Dataset Upload,Roboflow Dataset Upload,Object Detection Model,Event Writer,Object Detection Model,Qwen3.5-VL,SAM 3,SAM3 Video Tracker,Instance Segmentation Model,Webhook Sink,Semantic Segmentation Model,SAM2 Video Tracker,Detections Classes Replacement,Model Monitoring Inference Aggregator,Roboflow Vision Events,Single-Label Classification Model,Keypoint Detection Model,Cosmos 3,Semantic Segmentation Model,SAM 3,Multi-Label Classification Model,Qwen2.5-VL,Instance Segmentation Model,Qwen3-VL,Object Detection Model,Keypoint Detection Model,Keypoint Detection Model,Multi-Label Classification Model,Instance Segmentation Model,Single-Label Classification Model,Single-Label Classification Model,Moondream2,Classification Label Visualization,SmolVLM2,Instance Segmentation Model,Qwen-VL,SAM 3,GLM-OCR
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Multi-Label Classification Model in version v2 has.
Bindings
-
input
images(image): The image to infer on..model_id(roboflow_model_id): Roboflow model identifier..confidence(float_zero_to_one): Confidence threshold for predictions..disable_active_learning(boolean): Boolean flag to disable project-level active learning for this block..active_learning_target_dataset(roboflow_project): Target dataset for active learning, if enabled..
-
output
predictions(classification_prediction): Predictions from classifier.inference_id(inference_id): Inference identifier.model_id(roboflow_model_id): Roboflow model id.
Example JSON definition of step Multi-Label Classification Model in version v2
{
"name": "<your_step_name_here>",
"type": "roboflow_core/roboflow_multi_label_classification_model@v2",
"images": "$inputs.image",
"model_id": "my_project/3",
"confidence": 0.3,
"disable_active_learning": true,
"active_learning_target_dataset": "my_project"
}
v1¶
Class: RoboflowMultiLabelClassificationModelBlockV1 (there are multiple versions of this block)
Warning: This block has multiple versions. Please refer to the specific version for details. You can learn more about how versions work here: Versioning
Run inference on a multi-label classification model hosted on or uploaded to Roboflow.
You can query any model that is private to your account, or any public model available on Roboflow Universe.
You will need to set your Roboflow API key in your Inference environment to use this block. To learn more about setting your Roboflow API key, refer to the Inference documentation.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/roboflow_multi_label_classification_model@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
model_id |
str |
Roboflow model identifier.. | ✅ |
confidence |
float |
Confidence threshold for predictions.. | ✅ |
disable_active_learning |
bool |
Boolean flag to disable project-level active learning for this block.. | ✅ |
active_learning_target_dataset |
str |
Target dataset for active learning, if enabled.. | ✅ |
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 Multi-Label Classification Model in version v1.
- inputs:
PLC Writer,Image Blur,Stability AI Outpainting,Blur Visualization,Multi-Label Classification Model,Frame Delay,Bounding Box Visualization,Absolute Static Crop,Crop Visualization,Reference Path Visualization,Roboflow Dataset Upload,Polygon Visualization,Object Detection Model,VLM As Detector,Roboflow Visual Search Classifier,Event Writer,Image Slicer,Image Convert Grayscale,VLM As Classifier,Email Notification,Webhook Sink,Contrast Enhancement,Semantic Segmentation Model,VLM As Classifier,Perspective Correction,Motion Detection,Keypoint Detection Model,Halo Visualization,SIFT,Semantic Segmentation Model,Slack Notification,Label Visualization,Dynamic Crop,PLC Reader,Detections Consensus,Label Visualization,Instance Segmentation Model,S3 Sink,Halo Visualization,Line Counter Visualization,Keypoint Detection Model,Email Notification,Roboflow Asset Library Attributes,Multi-Label Classification Model,Single-Label Classification Model,Background Subtraction,Ellipse Visualization,Stitch Images,OPC UA Writer Sink,Relative Static Crop,Corner Visualization,Triangle Visualization,Depth Estimation,SIFT Comparison,JSON Parser,Dot Visualization,Camera Calibration,Background Color Visualization,Polygon Zone Visualization,Image Contours,Roboflow Custom Metadata,Roboflow Dataset Upload,Camera Focus,Stability AI Inpainting,Contrast Equalization,Morphological Transformation,SIFT Comparison,Image Threshold,Trace Visualization,Color Visualization,Object Detection Model,Camera Focus,Local File Sink,Stability AI Image Generation,Instance Segmentation Model,Circle Visualization,QR Code Generator,Morphological Transformation,Dynamic Zone,Model Monitoring Inference Aggregator,Single-Label Classification Model,Roboflow Vision Events,Heatmap Visualization,Twilio SMS Notification,Auto Rotate on Edges,Polygon Visualization,Microsoft SQL Server Sink,MQTT Writer,Icon Visualization,Rich Label Visualization,Identify Changes,Twilio SMS/MMS Notification,Keypoint Visualization,Image Preprocessing,Image Slicer,Clip Comparison,Text Display,Pixelate Visualization,Grid Visualization,Model Comparison Visualization,Identify Outliers,PTZ Tracking (ONVIF),Mask Visualization,Classification Label Visualization,Instance Segmentation Model,Roboflow Visual Search,VLM As Detector - outputs:
Image Blur,Path Deviation,Crop Visualization,Polygon Visualization,Object Detection Model,Roboflow Visual Search Classifier,Qwen3.5-VL,CLIP Embedding Model,Webhook Sink,YOLO-World Model,Slack Notification,Label Visualization,MoonshotAI Kimi,Stitch OCR Detections,Label Visualization,Instance Segmentation Model,S3 Sink,Perception Encoder Embedding Model,Email Notification,Keypoint Detection Model,Pixel Color Count,Single-Label Classification Model,OPC UA Writer Sink,Ellipse Visualization,Path Deviation,Corner Visualization,Triangle Visualization,Qwen-VL,Distance Measurement,Google Gemini,Seg Preview,Polygon Zone Visualization,Roboflow Custom Metadata,LMM For Classification,Trace Visualization,SIFT Comparison,Color Visualization,Local File Sink,Llama 3.2 Vision,SAM3 Video Tracker,Llama 3.2 Vision,Morphological Transformation,Google Vision OCR,Google Gemma API,Google Gemma,Microsoft SQL Server Sink,Polygon Visualization,Icon Visualization,Rich Label Visualization,Twilio SMS/MMS Notification,Keypoint Visualization,OpenAI,OpenAI,Clip Comparison,Qwen 3.6 API,Instance Segmentation Model,Mask Visualization,Moondream2,Nearest Neighbor Detection Match,OpenAI,OpenAI-Compatible LLM,Instance Segmentation Model,Roboflow Visual Search,Stability AI Outpainting,Bounding Box Visualization,Roboflow Dataset Upload,OpenAI,Anthropic Claude,Reference Path Visualization,Google Gemini,Detections Stitch,Event Writer,Cache Set,Stitch OCR Detections,CogVLM,Time in Zone,Email Notification,Current Time,Perspective Correction,Halo Visualization,Semantic Segmentation Model,Cache Get,OpenRouter,Dynamic Crop,Halo Visualization,Line Counter Visualization,Time in Zone,Time in Zone,Roboflow Asset Library Attributes,Multi-Label Classification Model,Size Measurement,LMM,Depth Estimation,SAM 3,Dot Visualization,GLM-OCR,Florence-2 Model,Google Gemini,Background Color Visualization,Roboflow Dataset Upload,Qwen 3.5 API,Segment Anything 2 Model,MoonshotAI Kimi,Stability AI Inpainting,Contrast Equalization,Morphological Transformation,Image Threshold,SAM 3,Line Counter,Stability AI Image Generation,Instance Segmentation Model,Circle Visualization,QR Code Generator,Google Gemini,Detections Classes Replacement,Model Monitoring Inference Aggregator,Roboflow Vision Events,Twilio SMS Notification,Heatmap Visualization,Cosmos 3,Auto Rotate on Edges,MQTT Writer,SAM 3,Anthropic Claude,Image Preprocessing,Line Counter,Anthropic Claude,Text Display,PTZ Tracking (ONVIF),Model Comparison Visualization,Florence-2 Model,Classification Label Visualization
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Multi-Label Classification Model in version v1 has.
Bindings
-
input
images(image): The image to infer on..model_id(roboflow_model_id): Roboflow model identifier..confidence(float_zero_to_one): Confidence threshold for predictions..disable_active_learning(boolean): Boolean flag to disable project-level active learning for this block..active_learning_target_dataset(roboflow_project): Target dataset for active learning, if enabled..
-
output
predictions(classification_prediction): Predictions from classifier.inference_id(string): String value.
Example JSON definition of step Multi-Label Classification Model in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/roboflow_multi_label_classification_model@v1",
"images": "$inputs.image",
"model_id": "my_project/3",
"confidence": 0.3,
"disable_active_learning": true,
"active_learning_target_dataset": "my_project"
}