Single-Label Classification Model¶
v3¶
Class: RoboflowClassificationModelBlockV3 (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-class 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_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 Single-Label Classification Model in version v3.
- inputs:
Roboflow Dataset Upload,Line Counter Visualization,Stability AI Outpainting,Object Detection Model,Email Notification,Google Gemma API,Image Slicer,OCR Model,Google Vision OCR,Identify Outliers,Image Preprocessing,Google Gemini,Instance Segmentation Model,EasyOCR,Color Visualization,Object Detection Model,Multi-Label Classification Model,OpenAI,Ellipse Visualization,Polygon Visualization,Anthropic Claude,Single-Label Classification Model,Relative Static Crop,Detections Consensus,Webhook Sink,Model Comparison Visualization,Trace Visualization,Object Detection Model,Camera Focus,Stitch OCR Detections,Roboflow Custom Metadata,Qwen 3.5 API,OpenAI,Instance Segmentation Model,Semantic Segmentation Model,Single-Label Classification Model,VLM As Classifier,Image Threshold,Stitch Images,Heatmap Visualization,Qwen 3.6 API,SIFT Comparison,Morphological Transformation,Florence-2 Model,Halo Visualization,Instance Segmentation Model,CogVLM,Crop Visualization,Camera Calibration,Florence-2 Model,Multi-Label Classification Model,GLM-OCR,Dot Visualization,S3 Sink,Semantic Segmentation Model,Twilio SMS Notification,Icon Visualization,Model Monitoring Inference Aggregator,Local File Sink,Google Gemini,Roboflow Dataset Upload,Dynamic Zone,Image Contours,VLM As Classifier,JSON Parser,Pixelate Visualization,Keypoint Detection Model,Twilio SMS/MMS Notification,Polygon Zone Visualization,Reference Path Visualization,Motion Detection,Blur Visualization,Anthropic Claude,Background Subtraction,Text Display,Clip Comparison,CSV Formatter,VLM As Detector,LMM,Stability AI Image Generation,Perspective Correction,Anthropic Claude,Bounding Box Visualization,Depth Estimation,Identify Changes,Classification Label Visualization,Image Slicer,Absolute Static Crop,Image Blur,Stability AI Inpainting,Multi-Label Classification Model,Polygon Visualization,Image Convert Grayscale,SIFT,Single-Label Classification Model,Roboflow Vision Events,OpenAI,Google Gemini,Label Visualization,VLM As Detector,Corner Visualization,Grid Visualization,Dynamic Crop,Contrast Equalization,Keypoint Visualization,Triangle Visualization,Keypoint Detection Model,Qwen3.5-VL,QR Code Generator,Halo Visualization,Circle Visualization,Camera Focus,Mask Visualization,LMM For Classification,Morphological Transformation,OpenAI,Contrast Enhancement,Keypoint Detection Model,MoonshotAI Kimi,Llama 3.2 Vision,Background Color Visualization,Email Notification,PTZ Tracking (ONVIF),Slack Notification,Stitch OCR Detections,SIFT Comparison - outputs:
Model Monitoring Inference Aggregator,Roboflow Dataset Upload,Roboflow Dataset Upload,Object Detection Model,Keypoint Detection Model,Qwen2.5-VL,Instance Segmentation Model,Object Detection Model,Multi-Label Classification Model,SAM2 Video Tracker,Single-Label Classification Model,Detections Classes Replacement,Qwen3-VL,Webhook Sink,Object Detection Model,Roboflow Custom Metadata,Classification Label Visualization,Multi-Label Classification Model,SmolVLM2,SAM 3,SAM 3,Single-Label Classification Model,Roboflow Vision Events,Semantic Segmentation Model,Single-Label Classification Model,Instance Segmentation Model,Keypoint Detection Model,Moondream2,Qwen3.5-VL,Instance Segmentation Model,Keypoint Detection Model,Multi-Label Classification Model,GLM-OCR,SAM 3,Semantic Segmentation Model
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Single-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 Single-Label Classification Model in version v3
{
"name": "<your_step_name_here>",
"type": "roboflow_core/roboflow_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: RoboflowClassificationModelBlockV2 (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-class 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_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 Single-Label Classification Model in version v2.
- inputs:
Roboflow Dataset Upload,Line Counter Visualization,Stability AI Outpainting,Email Notification,Image Slicer,Identify Outliers,Image Preprocessing,Color Visualization,Object Detection Model,Multi-Label Classification Model,Ellipse Visualization,Polygon Visualization,Single-Label Classification Model,Relative Static Crop,Detections Consensus,Webhook Sink,Model Comparison Visualization,Trace Visualization,Object Detection Model,Camera Focus,Roboflow Custom Metadata,Instance Segmentation Model,Semantic Segmentation Model,VLM As Classifier,Image Threshold,Stitch Images,Heatmap Visualization,SIFT Comparison,Morphological Transformation,Halo Visualization,Instance Segmentation Model,Crop Visualization,Camera Calibration,Multi-Label Classification Model,Dot Visualization,S3 Sink,Semantic Segmentation Model,Twilio SMS Notification,Icon Visualization,Model Monitoring Inference Aggregator,Local File Sink,Roboflow Dataset Upload,Dynamic Zone,Image Contours,VLM As Classifier,JSON Parser,Pixelate Visualization,Keypoint Detection Model,Twilio SMS/MMS Notification,Polygon Zone Visualization,Reference Path Visualization,Motion Detection,Blur Visualization,Background Subtraction,Text Display,Clip Comparison,VLM As Detector,Stability AI Image Generation,Perspective Correction,Bounding Box Visualization,Depth Estimation,Identify Changes,Classification Label Visualization,Image Slicer,Absolute Static Crop,Image Blur,Stability AI Inpainting,Polygon Visualization,Image Convert Grayscale,SIFT,Single-Label Classification Model,Roboflow Vision Events,VLM As Detector,Label Visualization,Corner Visualization,Grid Visualization,Dynamic Crop,Contrast Equalization,Keypoint Visualization,Triangle Visualization,Keypoint Detection Model,QR Code Generator,Halo Visualization,Circle Visualization,Camera Focus,Mask Visualization,Morphological Transformation,Contrast Enhancement,Background Color Visualization,Email Notification,PTZ Tracking (ONVIF),Slack Notification,SIFT Comparison - outputs:
Model Monitoring Inference Aggregator,Roboflow Dataset Upload,Roboflow Dataset Upload,Object Detection Model,Keypoint Detection Model,Qwen2.5-VL,Instance Segmentation Model,Object Detection Model,Multi-Label Classification Model,SAM2 Video Tracker,Single-Label Classification Model,Detections Classes Replacement,Qwen3-VL,Webhook Sink,Object Detection Model,Roboflow Custom Metadata,Classification Label Visualization,Multi-Label Classification Model,SmolVLM2,SAM 3,SAM 3,Single-Label Classification Model,Roboflow Vision Events,Semantic Segmentation Model,Single-Label Classification Model,Instance Segmentation Model,Keypoint Detection Model,Moondream2,Qwen3.5-VL,Instance Segmentation Model,Keypoint Detection Model,Multi-Label Classification Model,GLM-OCR,SAM 3,Semantic Segmentation Model
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Single-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 Single-Label Classification Model in version v2
{
"name": "<your_step_name_here>",
"type": "roboflow_core/roboflow_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: RoboflowClassificationModelBlockV1 (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-class 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_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 Single-Label Classification Model in version v1.
- inputs:
Roboflow Dataset Upload,Line Counter Visualization,Stability AI Outpainting,Email Notification,Image Slicer,Identify Outliers,Image Preprocessing,Color Visualization,Object Detection Model,Multi-Label Classification Model,Ellipse Visualization,Polygon Visualization,Single-Label Classification Model,Relative Static Crop,Detections Consensus,Webhook Sink,Model Comparison Visualization,Trace Visualization,Object Detection Model,Camera Focus,Roboflow Custom Metadata,Instance Segmentation Model,Semantic Segmentation Model,VLM As Classifier,Image Threshold,Stitch Images,Heatmap Visualization,SIFT Comparison,Morphological Transformation,Halo Visualization,Instance Segmentation Model,Crop Visualization,Camera Calibration,Multi-Label Classification Model,Dot Visualization,S3 Sink,Semantic Segmentation Model,Twilio SMS Notification,Icon Visualization,Model Monitoring Inference Aggregator,Local File Sink,Roboflow Dataset Upload,Dynamic Zone,Image Contours,VLM As Classifier,JSON Parser,Pixelate Visualization,Keypoint Detection Model,Twilio SMS/MMS Notification,Polygon Zone Visualization,Reference Path Visualization,Motion Detection,Blur Visualization,Background Subtraction,Text Display,Clip Comparison,VLM As Detector,Stability AI Image Generation,Perspective Correction,Bounding Box Visualization,Depth Estimation,Identify Changes,Classification Label Visualization,Image Slicer,Absolute Static Crop,Image Blur,Stability AI Inpainting,Polygon Visualization,Image Convert Grayscale,SIFT,Single-Label Classification Model,Roboflow Vision Events,VLM As Detector,Label Visualization,Corner Visualization,Grid Visualization,Dynamic Crop,Contrast Equalization,Keypoint Visualization,Triangle Visualization,Keypoint Detection Model,QR Code Generator,Halo Visualization,Circle Visualization,Camera Focus,Mask Visualization,Morphological Transformation,Contrast Enhancement,Background Color Visualization,Email Notification,PTZ Tracking (ONVIF),Slack Notification,SIFT Comparison - outputs:
CLIP Embedding Model,Detections Stitch,Roboflow Dataset Upload,Line Counter Visualization,Email Notification,Google Gemma API,Stability AI Outpainting,Google Vision OCR,Distance Measurement,Instance Segmentation Model,Google Gemini,Image Preprocessing,Color Visualization,Object Detection Model,Multi-Label Classification Model,OpenAI,Ellipse Visualization,Polygon Visualization,Anthropic Claude,Single-Label Classification Model,Time in Zone,Detections Classes Replacement,Cache Set,Webhook Sink,Model Comparison Visualization,Trace Visualization,Stitch OCR Detections,Roboflow Custom Metadata,Qwen 3.5 API,YOLO-World Model,OpenAI,SAM 3,Perception Encoder Embedding Model,Instance Segmentation Model,Size Measurement,Image Threshold,Heatmap Visualization,Qwen 3.6 API,SIFT Comparison,Morphological Transformation,Florence-2 Model,Halo Visualization,Instance Segmentation Model,CogVLM,Crop Visualization,Florence-2 Model,Path Deviation,Time in Zone,GLM-OCR,Dot Visualization,S3 Sink,Path Deviation,SAM 3,Semantic Segmentation Model,Twilio SMS Notification,Seg Preview,Model Monitoring Inference Aggregator,Local File Sink,Google Gemini,Roboflow Dataset Upload,Icon Visualization,Line Counter,Twilio SMS/MMS Notification,Time in Zone,Polygon Zone Visualization,Reference Path Visualization,Anthropic Claude,Text Display,Clip Comparison,LMM,Stability AI Image Generation,Perspective Correction,Anthropic Claude,Line Counter,Bounding Box Visualization,Pixel Color Count,Depth Estimation,Classification Label Visualization,Image Blur,Stability AI Inpainting,Polygon Visualization,SAM 3,Roboflow Vision Events,OpenAI,Google Gemini,Label Visualization,Corner Visualization,Keypoint Detection Model,Contrast Equalization,Dynamic Crop,Triangle Visualization,Keypoint Visualization,Moondream2,QR Code Generator,Halo Visualization,Circle Visualization,Segment Anything 2 Model,Mask Visualization,LMM For Classification,Morphological Transformation,OpenAI,MoonshotAI Kimi,Llama 3.2 Vision,Background Color Visualization,Email Notification,PTZ Tracking (ONVIF),Slack Notification,Stitch OCR Detections,Cache Get
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Single-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 Single-Label Classification Model in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/roboflow_classification_model@v1",
"images": "$inputs.image",
"model_id": "my_project/3",
"confidence": 0.3,
"disable_active_learning": true,
"active_learning_target_dataset": "my_project"
}