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