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:
Keypoint Visualization,Keypoint Detection Model,Twilio SMS/MMS Notification,OPC UA Writer Sink,Qwen 3.6 API,SIFT Comparison,Grid Visualization,Object Detection Model,Llama 3.2 Vision,PLC Writer,JSON Parser,Absolute Static Crop,Roboflow Visual Search Classifier,Image Threshold,Polygon Zone Visualization,CogVLM,MQTT Writer,Contrast Equalization,Google Gemini,OCR Model,GLM-OCR,Background Subtraction,Contrast Enhancement,Reference Path Visualization,Twilio SMS Notification,Instance Segmentation Model,Google Gemma API,PTZ Tracking (ONVIF),VLM As Detector,Florence-2 Model,Dynamic Crop,Halo Visualization,Image Blur,LMM,Ellipse Visualization,OpenAI,Florence-2 Model,LMM For Classification,Semantic Segmentation Model,Instance Segmentation Model,Event Writer,OpenAI,Single-Label Classification Model,Keypoint Detection Model,Google Gemma,Slack Notification,Heatmap Visualization,Semantic Segmentation Model,Email Notification,Circle Visualization,Perspective Correction,Camera Focus,Crop Visualization,Polygon Visualization,Keypoint Detection Model,Detections Consensus,Multi-Label Classification Model,Stability AI Inpainting,OpenAI-Compatible LLM,Object Detection Model,VLM As Classifier,Image Slicer,Google Gemini,Roboflow Vision Events,Multi-Label Classification Model,Local File Sink,Object Detection Model,Dot Visualization,Line Counter Visualization,Instance Segmentation Model,Depth Estimation,Stitch OCR Detections,PP-OCR,Blur Visualization,EasyOCR,Anthropic Claude,CSV Formatter,Color Visualization,Dynamic Zone,Image Convert Grayscale,Motion Detection,Stitch OCR Detections,Single-Label Classification Model,Qwen 3.5 API,Trace Visualization,Icon Visualization,Current Time,PLC Reader,Model Comparison Visualization,Camera Focus,QR Code Generator,Google Gemini,Instance Segmentation Model,Qwen-VL,Mask Visualization,MoonshotAI Kimi,Microsoft SQL Server Sink,Text Display,Stability AI Image Generation,Google Vision OCR,Webhook Sink,OpenAI,VLM As Detector,Identify Outliers,Pixelate Visualization,Stitch Images,S3 Sink,Classification Label Visualization,MoonshotAI Kimi,Polygon Visualization,Anthropic Claude,Roboflow Dataset Upload,Morphological Transformation,Bounding Box Visualization,VLM As Classifier,Image Contours,Image Slicer,Stability AI Outpainting,Anthropic Claude,Roboflow Custom Metadata,Multi-Label Classification Model,Camera Calibration,Roboflow Asset Library Attributes,Morphological Transformation,Relative Static Crop,Background Color Visualization,Model Monitoring Inference Aggregator,Clip Comparison,Corner Visualization,SIFT,Roboflow Visual Search,OpenRouter,Llama 3.2 Vision,Qwen3.5-VL,Identify Changes,Email Notification,Single-Label Classification Model,Triangle Visualization,OpenAI,Roboflow Dataset Upload,Image Preprocessing,SIFT Comparison,Halo Visualization,Label Visualization - outputs:
Keypoint Detection Model,Single-Label Classification Model,Keypoint Detection Model,SmolVLM2,Object Detection Model,SAM 3,Semantic Segmentation Model,Instance Segmentation Model,Qwen2.5-VL,Qwen3-VL,Roboflow Custom Metadata,Multi-Label Classification Model,SAM2 Video Tracker,Single-Label Classification Model,Keypoint Detection Model,Multi-Label Classification Model,Model Monitoring Inference Aggregator,GLM-OCR,Instance Segmentation Model,SAM 3,Object Detection Model,Qwen-VL,Roboflow Vision Events,Instance Segmentation Model,Detections Classes Replacement,Moondream2,Multi-Label Classification Model,Qwen3.5-VL,Qwen3.5,Object Detection Model,SAM 3,Webhook Sink,Single-Label Classification Model,SAM3 Video Tracker,Roboflow Dataset Upload,Classification Label Visualization,Instance Segmentation Model,Semantic Segmentation Model,Roboflow Dataset Upload,Event Writer
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:
Keypoint Visualization,Keypoint Detection Model,Twilio SMS/MMS Notification,OPC UA Writer Sink,Blur Visualization,SIFT Comparison,Grid Visualization,Object Detection Model,Color Visualization,PLC Writer,Dynamic Zone,JSON Parser,Image Convert Grayscale,Motion Detection,Absolute Static Crop,Roboflow Visual Search Classifier,Image Threshold,Icon Visualization,Polygon Zone Visualization,Trace Visualization,PLC Reader,Model Comparison Visualization,Camera Focus,QR Code Generator,MQTT Writer,Contrast Equalization,Instance Segmentation Model,Background Subtraction,Mask Visualization,Reference Path Visualization,Contrast Enhancement,Twilio SMS Notification,Microsoft SQL Server Sink,PTZ Tracking (ONVIF),Text Display,VLM As Detector,Dynamic Crop,Halo Visualization,Image Blur,Stability AI Image Generation,Webhook Sink,VLM As Detector,Ellipse Visualization,Identify Outliers,Pixelate Visualization,Stitch Images,S3 Sink,Classification Label Visualization,Polygon Visualization,Semantic Segmentation Model,Instance Segmentation Model,Roboflow Dataset Upload,Event Writer,Single-Label Classification Model,Morphological Transformation,Bounding Box Visualization,VLM As Classifier,Image Contours,Image Slicer,Heatmap Visualization,Stability AI Outpainting,Semantic Segmentation Model,Slack Notification,Email Notification,Circle Visualization,Roboflow Custom Metadata,Multi-Label Classification Model,Perspective Correction,Camera Focus,Camera Calibration,Roboflow Asset Library Attributes,Crop Visualization,Morphological Transformation,Polygon Visualization,Keypoint Detection Model,Detections Consensus,Relative Static Crop,Background Color Visualization,Model Monitoring Inference Aggregator,Stability AI Inpainting,Clip Comparison,Corner Visualization,VLM As Classifier,SIFT,Image Slicer,Roboflow Vision Events,Roboflow Visual Search,Multi-Label Classification Model,Identify Changes,Local File Sink,Object Detection Model,Email Notification,Single-Label Classification Model,Depth Estimation,Triangle Visualization,Roboflow Dataset Upload,Dot Visualization,Image Preprocessing,SIFT Comparison,Line Counter Visualization,Halo Visualization,Instance Segmentation Model,Label Visualization - outputs:
Keypoint Detection Model,Single-Label Classification Model,Keypoint Detection Model,SmolVLM2,Object Detection Model,SAM 3,Semantic Segmentation Model,Instance Segmentation Model,Qwen2.5-VL,Qwen3-VL,Roboflow Custom Metadata,Multi-Label Classification Model,SAM2 Video Tracker,Single-Label Classification Model,Keypoint Detection Model,Multi-Label Classification Model,Model Monitoring Inference Aggregator,GLM-OCR,Instance Segmentation Model,SAM 3,Object Detection Model,Qwen-VL,Roboflow Vision Events,Instance Segmentation Model,Detections Classes Replacement,Moondream2,Multi-Label Classification Model,Qwen3.5-VL,Qwen3.5,Object Detection Model,SAM 3,Webhook Sink,Single-Label Classification Model,SAM3 Video Tracker,Roboflow Dataset Upload,Classification Label Visualization,Instance Segmentation Model,Semantic Segmentation Model,Roboflow Dataset Upload,Event Writer
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:
Keypoint Visualization,Keypoint Detection Model,Twilio SMS/MMS Notification,OPC UA Writer Sink,Blur Visualization,SIFT Comparison,Grid Visualization,Object Detection Model,Color Visualization,PLC Writer,Dynamic Zone,JSON Parser,Image Convert Grayscale,Motion Detection,Absolute Static Crop,Roboflow Visual Search Classifier,Image Threshold,Icon Visualization,Polygon Zone Visualization,Trace Visualization,PLC Reader,Model Comparison Visualization,Camera Focus,QR Code Generator,MQTT Writer,Contrast Equalization,Instance Segmentation Model,Background Subtraction,Mask Visualization,Reference Path Visualization,Contrast Enhancement,Twilio SMS Notification,Microsoft SQL Server Sink,PTZ Tracking (ONVIF),Text Display,VLM As Detector,Dynamic Crop,Halo Visualization,Image Blur,Stability AI Image Generation,Webhook Sink,VLM As Detector,Ellipse Visualization,Identify Outliers,Pixelate Visualization,Stitch Images,S3 Sink,Classification Label Visualization,Polygon Visualization,Semantic Segmentation Model,Instance Segmentation Model,Roboflow Dataset Upload,Event Writer,Single-Label Classification Model,Morphological Transformation,Bounding Box Visualization,VLM As Classifier,Image Contours,Image Slicer,Heatmap Visualization,Stability AI Outpainting,Semantic Segmentation Model,Slack Notification,Email Notification,Circle Visualization,Roboflow Custom Metadata,Multi-Label Classification Model,Perspective Correction,Camera Focus,Camera Calibration,Roboflow Asset Library Attributes,Crop Visualization,Morphological Transformation,Polygon Visualization,Keypoint Detection Model,Detections Consensus,Relative Static Crop,Background Color Visualization,Model Monitoring Inference Aggregator,Stability AI Inpainting,Clip Comparison,Corner Visualization,VLM As Classifier,SIFT,Image Slicer,Roboflow Vision Events,Roboflow Visual Search,Multi-Label Classification Model,Identify Changes,Local File Sink,Object Detection Model,Email Notification,Single-Label Classification Model,Depth Estimation,Triangle Visualization,Roboflow Dataset Upload,Dot Visualization,Image Preprocessing,SIFT Comparison,Line Counter Visualization,Halo Visualization,Instance Segmentation Model,Label Visualization - outputs:
Keypoint Visualization,Twilio SMS/MMS Notification,OPC UA Writer Sink,Keypoint Detection Model,Perception Encoder Embedding Model,Qwen 3.6 API,SAM 3,Llama 3.2 Vision,Distance Measurement,Roboflow Visual Search Classifier,Image Threshold,Polygon Zone Visualization,CogVLM,MQTT Writer,Contrast Equalization,Google Gemini,GLM-OCR,Reference Path Visualization,Twilio SMS Notification,Google Gemma API,Instance Segmentation Model,Detections Classes Replacement,PTZ Tracking (ONVIF),Florence-2 Model,Dynamic Crop,Halo Visualization,Image Blur,LMM,Seg Preview,SAM 3,Ellipse Visualization,OpenAI,Florence-2 Model,Line Counter,LMM For Classification,Time in Zone,Cache Set,Semantic Segmentation Model,Event Writer,OpenAI,Path Deviation,Instance Segmentation Model,Time in Zone,Google Gemma,Slack Notification,Heatmap Visualization,Email Notification,Circle Visualization,Perspective Correction,Crop Visualization,Polygon Visualization,Line Counter,Stability AI Inpainting,OpenAI-Compatible LLM,SAM 3,Google Gemini,Roboflow Vision Events,Multi-Label Classification Model,Size Measurement,Local File Sink,Object Detection Model,SAM3 Video Tracker,Dot Visualization,Line Counter Visualization,Time in Zone,Instance Segmentation Model,Depth Estimation,Stitch OCR Detections,Anthropic Claude,Segment Anything 2 Model,Color Visualization,Stitch OCR Detections,Qwen 3.5 API,Trace Visualization,Icon Visualization,Current Time,Cache Get,Model Comparison Visualization,QR Code Generator,Google Gemini,Detections Stitch,Instance Segmentation Model,Qwen-VL,Mask Visualization,MoonshotAI Kimi,Microsoft SQL Server Sink,Text Display,Stability AI Image Generation,Google Vision OCR,Webhook Sink,OpenAI,S3 Sink,Classification Label Visualization,MoonshotAI Kimi,Polygon Visualization,Anthropic Claude,Roboflow Dataset Upload,Morphological Transformation,Bounding Box Visualization,Stability AI Outpainting,Anthropic Claude,Roboflow Custom Metadata,Roboflow Asset Library Attributes,Morphological Transformation,Path Deviation,Background Color Visualization,Model Monitoring Inference Aggregator,Clip Comparison,Corner Visualization,Moondream2,Roboflow Visual Search,OpenRouter,Qwen3.5-VL,Llama 3.2 Vision,Email Notification,CLIP Embedding Model,Single-Label Classification Model,Triangle Visualization,OpenAI,Roboflow Dataset Upload,Pixel Color Count,Image Preprocessing,SIFT Comparison,YOLO-World Model,Halo Visualization,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"
}