COMPUTER VISION. CLASSIFY THE IMAGES BASED ON A TRAINING SET¶
Classifies a collection of images using a supervised computer-vision model trained on a provided labelled training set. Use this worker when you need to assign category labels to new images based on examples of known classes.
When to use¶
Classification: process.
Tagged: computer_vision, cvision, image_classification, supervised, training_set.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| File Name | filename | collection | — | Collection pointing to the image file(s) to be classified; accepts any common raster format (PNG, JPEG, BMP). Leave unset if images are supplied indirectly via the training-set collection. | |
| Training Set | trainingset | collection | — | Collection of labelled reference images used to train or configure the classifier; each entry should associate an image file with its ground-truth class label. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| cvision_classifyimages_output_1 | cvision_classifyimages_output_1 | text | Text result containing the predicted class label(s) for each input image, typically formatted as a JSON or delimited string mapping filename to classification outcome. |
Disciplines¶
- ai_ml.supervised.classification
- ai_ml.vision
Auto-generated from transformation schema. Worker id: cvision_classifyimages. Schema hash: 00b9b42807e2. Hand-curated docs in workerexamples/ override this page when present.