Seg Preview

Seg Preview

Seg Preview

Type identifier

Use the following identifier in step "type" field: roboflow_core/seg-preview@v1 to add the block as a step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
class_names	Union[List[str], str]	List of classes to recognise.	✅
threshold	float	Threshold for predicted mask scores.	✅

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Runtime compatibility

requires_internet - air-gapped / offline deployments : This block depends on a service that is not reachable from fully offline / air-gapped deployments.

hard - runtime self_hosted_cpu, self_hosted_gpu, inference_pipeline : Seg Preview calls the Roboflow-internal API_BASE_URL/inferenceproxy/seg-preview endpoint, which is only reachable from Roboflow-hosted runtimes (HOSTED_SERVERLESS, DEDICATED_DEPLOYMENT). Self-hosted deployments cannot run this block.

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Seg Preview in version v1 has.

Input and output bindings

• input

  • images (image): The image to infer on..

  • class_names (Union[list_of_values, string]): List of classes to recognise.

  • threshold (float): Threshold for predicted mask scores.

• output

  • predictions (instance_segmentation_prediction): Prediction with detected bounding boxes and segmentation masks in form of sv.Detections(...) object.

Example JSON definition

{
	    "name": "<your_step_name_here>",
	    "type": "roboflow_core/seg-preview@v1",
	    "images": "$inputs.image",
	    "class_names": [
	        "car",
	        "person"
	    ],
	    "threshold": 0.3
	}