COMPUTER VISION. CLASSIFY THE IMAGE BASED ON A TRAINING SET¶
Classifies an input image against a user-supplied training set using computer vision techniques. Provide a labelled image collection as the training set and the worker returns the predicted class label for the query image. Use this worker when you need automated image categorisation within a d3VIEW workflow.
When to use¶
Classification: process.
Tagged: computer_vision, cv, image_classification, label, predict, training_set.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| File Name | filename | view | — | ✓ | Path or view reference to the query image file to be classified (e.g. PNG, JPEG); must point to a single image whose class label is to be predicted. |
| Training Set | trainingset | collection | — | ✓ | Collection of labelled training images used to build the classification model; each item in the collection should carry a class label and a corresponding image reference. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| cvision_classifyimage_output_1 | cvision_classifyimage_output_1 | text | Predicted class label (text string) assigned to the input image based on the supplied training set. |
Disciplines¶
- ai_ml.supervised.classification
- ai_ml.vision
Auto-generated from transformation schema. Worker id: cvision_classifyimage. Schema hash: 6db1157dbc2e. Hand-curated docs in workerexamples/ override this page when present.