CONNECTS TO A D3VIEW IMAGE CLASSIFICATION SERVER TO LEARN BASED ON ANNOTATIONS GENERATED FROM IMAGE ANNOTATOR

Connects to a d3VIEW Image Classification Server and triggers a training (learning) run using manually annotated images produced by the Image Annotator worker. Use this worker to train or fine-tune an image classification model within a d3VIEW workflow pipeline.

When to use

Tagged: annotation, d3view_server, image_classification, ml_learn, tfod, training, user.

Inputs

Label ID Type Default Required Description
Base URL base_url text http://10.1.10.63:8501/d3view_tfod_model_train/1001 Full HTTP URL of the running d3VIEW Image Classification training server (e.g., http://10.1.10.63:8501/d3view_tfod_model_train/1001); change only if the server is hosted on a different host or port than the default.
LDWA dataset dataset LDWA dataset containing manually annotated images produced by the Image Annotator utility worker; each record should carry image files and their corresponding annotation labels.
Configuration Options config keyvalue (complex) Key-value pairs of training configuration options forwarded to the classification server (e.g., epochs, batch size, learning rate); leave default placeholder entries and update keys/values to match server-supported parameters.

Outputs

Label ID Type Description
UID uid text Unique identifier assigned by the classification server to this training job; use it to correlate status queries and downstream results.
Model Path model_path textarea Server-side file-system path (or URI) where the trained model artefacts are stored after the learning run completes.
Base Url base_url text Echo of the base URL used for this training job; useful for passing the server address to downstream inference or status workers.
Status Url status_url text Polling endpoint URL that can be queried to check the live training status and progress of the submitted job.
Logs logs dataset Dataset containing training log records (loss, accuracy, epoch metrics, error messages) emitted by the classification server during the learning run.

Disciplines

  • ai_ml.supervised.classification
  • ai_ml.vision
  • platform.integration

Auto-generated from platform schema. Worker id: ml_image_classification_learn. Schema hash: ec4b1629bc4f. Hand-curated docs in workerexamples/ override this page when present.