CREATE A CLUSTER BASED ON THE IMAGES¶
Groups a collection of images into clusters using computer-vision techniques, enabling unsupervised organization of visual assets by similarity. Provide an image file collection and receive a cluster assignment output. Use this worker when you need to automatically categorize or explore patterns across a set of images.
When to use¶
Classification: process.
Tagged: clustering, computer_vision, image_clustering, transformations, unsupervised, vision.
Inputs¶
| Label | ID | Type | Default | Required | Description |
|---|---|---|---|---|---|
| File Name | filename | collection | — | Collection of image file paths or references to be clustered; leave empty/null to defer file selection to a preceding worker in the workflow. |
Outputs¶
| Label | ID | Type | Description |
|---|---|---|---|
| cvision_clusterimages_output_1 | cvision_clusterimages_output_1 | text | Text payload containing cluster assignment results (e.g. JSON or CSV mapping each image file to its cluster label/ID). |
Disciplines¶
- ai_ml.unsupervised.clustering
- ai_ml.vision
Auto-generated from transformation schema. Worker id: cvision_clusterimages. Schema hash: 5f2060fe0b59. Hand-curated docs in workerexamples/ override this page when present.