Single-Label Classification Model¶
Version v1¶
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 |
The unique name of this step.. | ❌ |
model_id |
str |
Roboflow model identifier. | ✅ |
confidence |
float |
Confidence threshold for predictions. | ✅ |
disable_active_learning |
bool |
Parameter to decide if Active Learning data sampling is disabled for the model. | ✅ |
active_learning_target_dataset |
str |
Target dataset for Active Learning data sampling - see Roboflow Active Learning docs for more information. | ✅ |
The Refs column marks possibility to parametrise the property with dynamic values available
in workflow runtime. See Bindings for more info.
Available Connections¶
Check what blocks you can connect to Single-Label Classification Model in version v1.
- inputs:
Triangle Visualization,Image Blur,Image Preprocessing,Line Counter Visualization,Keypoint Visualization,Blur Visualization,Mask Visualization,Background Color Visualization,Model Comparison Visualization,Ellipse Visualization,Pixelate Visualization,Corner Visualization,Camera Focus,Reference Path Visualization,Relative Static Crop,Image Contours,Image Convert Grayscale,Crop Visualization,Stitch Images,Label Visualization,Polygon Visualization,Stability AI Inpainting,Dynamic Crop,Trace Visualization,Polygon Zone Visualization,SIFT,Image Threshold,Color Visualization,Image Slicer,Perspective Correction,Absolute Static Crop,Bounding Box Visualization,Halo Visualization,SIFT Comparison,Circle Visualization,Dot Visualization - outputs:
Detections Classes Replacement,Webhook Sink,Email Notification,Roboflow Dataset Upload,Roboflow Dataset Upload,Stability AI Inpainting,Roboflow Custom Metadata,Local File Sink
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): Parameter to decide if Active Learning data sampling is disabled for the model.active_learning_target_dataset(roboflow_project): Target dataset for Active Learning data sampling - see Roboflow Active Learning docs for more information.
-
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"
}