Enum: MLModalityType

High-level data modalities used in machine learning. These represent

the fundamental types of input data that ML models process.

__

URI: valuesets:MLModalityType

Permissible Values

Value	Meaning	Description
TEXT	None	Textual data (natural language, code, etc
IMAGE	EDAM:data_2968	Visual image data
AUDIO	None	Audio/sound data
VIDEO	None	Video data (sequences of images with optional audio)
MULTIMODAL	None	Data combining multiple modalities
TABULAR	None	Structured tabular data
TIME_SERIES	None	Sequential temporal data
GRAPH	None	Graph-structured data with nodes and edges

Identifier and Mapping Information

Schema Source

• from schema: https://w3id.org/linkml/valuesets

LinkML Source

name: MLModalityType
description: 'High-level data modalities used in machine learning. These represent

  the fundamental types of input data that ML models process.

  '
from_schema: https://w3id.org/linkml/valuesets
rank: 1000
permissible_values:
  TEXT:
    text: TEXT
    description: Textual data (natural language, code, etc.)
    annotations:
      examples:
        tag: examples
        value: documents, sentences, tokens
  IMAGE:
    text: IMAGE
    description: Visual image data
    meaning: EDAM:data_2968
    annotations:
      examples:
        tag: examples
        value: photographs, diagrams, scans
  AUDIO:
    text: AUDIO
    description: Audio/sound data
    annotations:
      examples:
        tag: examples
        value: speech, music, sound effects
  VIDEO:
    text: VIDEO
    description: Video data (sequences of images with optional audio)
    annotations:
      examples:
        tag: examples
        value: movies, recordings, animations
  MULTIMODAL:
    text: MULTIMODAL
    description: Data combining multiple modalities
    annotations:
      examples:
        tag: examples
        value: image-text pairs, audio-visual data
  TABULAR:
    text: TABULAR
    description: Structured tabular data
    annotations:
      examples:
        tag: examples
        value: spreadsheets, databases, CSV files
  TIME_SERIES:
    text: TIME_SERIES
    description: Sequential temporal data
    annotations:
      examples:
        tag: examples
        value: sensor readings, stock prices, logs
  GRAPH:
    text: GRAPH
    description: Graph-structured data with nodes and edges
    annotations:
      examples:
        tag: examples
        value: social networks, knowledge graphs, molecular structures