slug: lightly-ai
provider: Lightly
generated_by: planning/capability-mapping/scripts/classify_capabilities.py
model: claude-opus-5
frame:
- Software & Technology
min_confidence: 0.7
capability_model:
  source: https://github.com/vincentmakes/turbo-ea-capabilities
  license: CC-BY-4.0
  attribution: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities,
    CC BY 4.0
  notice: NOTICE
edge_count: 3
edges:
- tag: Selection
  spec_file: lightly-ai-selection-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.8
  evidence: POST /v1/datasets/{datasetId}/docker/worker/schedule  createDockerWorkerScheduleByDatasetId  Schedule
    a LightlyOne Worker run (selection / active-learning) on a dataset
  reason: Scheduling and monitoring active-learning/selection runs with SelectionConfig and run artefacts
    is ML pipeline execution — AI/ML lifecycle and MLOps management.
- tag: Embeddings
  spec_file: lightly-ai-embeddings-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.75
  evidence: POST /v1/datasets/{datasetId}/embeddings/{embeddingId}/trigger2dEmbeddingsJob  trigger2dEmbeddingsJob  Trigger
    computation of a 2D projection of the embeddings
  reason: Management and computation of model embeddings (DatasetEmbeddingData) for computer-vision datasets
    — squarely ML artefact/model lifecycle work, i.e. AI/MLOps management.
- tag: Datasets
  spec_file: lightly-ai-datasets-api-openapi.yml
  capability_id: BC-610.60
  capability_id_l1: BC-610
  capability_name: Artificial Intelligence Management
  confidence: 0.7
  evidence: POST /v1/datasets  createDataset  Create a new dataset
  reason: Lifecycle management of training datasets on a platform described as 'REST API for the LightlyOne
    data-curation and active-learning platform for computer vision' — ML dataset/MLOps management. Some
    ambiguity between AI management and general data management.