aid: segments-ai
url: https://raw.githubusercontent.com/api-evangelist/segments-ai/refs/heads/main/apis.yml
name: Segments.ai
kind: company
description: Segments.ai is a data-labeling platform for computer vision, supporting
  2D image segmentation and vectors as well as 3D point cloud and multi-sensor fusion
  annotation. Its REST API and Python SDK let teams manage datasets, samples, labels,
  labelsets, and versioned releases programmatically for building training data
  pipelines.
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- Data Labeling
- Computer Vision
- Point Cloud
- Annotation
- Machine Learning
created: '2026-06-21'
modified: '2026-06-21'
specificationVersion: '0.19'
apis:
- aid: segments-ai:datasets
  name: Segments.ai Datasets API
  tags:
  - Datasets
  - Projects
  - Computer Vision
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.segments.ai/reference/api
  baseURL: https://api.segments.ai
  properties:
  - url: https://docs.segments.ai/background/main-concepts
    type: Documentation
  - url: https://docs.segments.ai/reference/api
    type: APIReference
  - url: openapi/segments-ai-openapi.yml
    type: OpenAPI
  - url: collections/segments-ai.postman_collection.json
    type: PostmanCollection
  - url: collections/segments-ai.opencollection.json
    type: OpenCollection
  - url: https://github.com/segments-ai/segments-ai
    type: GitHub
  description: Create, list, retrieve, update, and delete labeling datasets, including
    their task type (image segmentation, vectors, point cloud cuboid/segmentation,
    multi-sensor fusion), categories, task attributes, and collaborators.
- aid: segments-ai:samples
  name: Segments.ai Samples API
  tags:
  - Samples
  - Assets
  - Images
  - Point Clouds
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.segments.ai/reference/api
  baseURL: https://api.segments.ai
  properties:
  - url: https://docs.segments.ai/background/main-concepts
    type: Documentation
  - url: https://docs.segments.ai/reference/api
    type: APIReference
  - url: openapi/segments-ai-openapi.yml
    type: OpenAPI
  - url: collections/segments-ai.postman_collection.json
    type: PostmanCollection
  - url: collections/segments-ai.opencollection.json
    type: OpenCollection
  description: Manage the individual items to be labeled within a dataset - images,
    point clouds, and multi-sensor sequences - with attributes, metadata, and
    labeling priority.
- aid: segments-ai:labels
  name: Segments.ai Labels API
  tags:
  - Labels
  - Annotations
  - Ground Truth
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.segments.ai/reference/api
  baseURL: https://api.segments.ai
  properties:
  - url: https://docs.segments.ai/background/main-concepts
    type: Documentation
  - url: https://docs.segments.ai/reference/api
    type: APIReference
  - url: openapi/segments-ai-openapi.yml
    type: OpenAPI
  - url: collections/segments-ai.postman_collection.json
    type: PostmanCollection
  - url: collections/segments-ai.opencollection.json
    type: OpenCollection
  description: Create, retrieve, update, and delete the annotation labels attached
    to a sample for a given labelset, with label status (LABELED, REVIEWED,
    REJECTED, PRELABELED, SKIPPED), attributes, and model score.
- aid: segments-ai:labelsets
  name: Segments.ai Labelsets API
  tags:
  - Labelsets
  - Predictions
  - Ground Truth
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.segments.ai/reference/api
  baseURL: https://api.segments.ai
  properties:
  - url: https://docs.segments.ai/background/main-concepts
    type: Documentation
  - url: https://docs.segments.ai/reference/api
    type: APIReference
  - url: openapi/segments-ai-openapi.yml
    type: OpenAPI
  - url: collections/segments-ai.postman_collection.json
    type: PostmanCollection
  - url: collections/segments-ai.opencollection.json
    type: OpenCollection
  description: Manage labelsets within a dataset - named groups of labels such as
    ground-truth or model predictions - allowing multiple parallel annotation
    sets per sample.
- aid: segments-ai:releases
  name: Segments.ai Releases API
  tags:
  - Releases
  - Versioning
  - Export
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://docs.segments.ai/reference/api
  baseURL: https://api.segments.ai
  properties:
  - url: https://docs.segments.ai/background/main-concepts
    type: Documentation
  - url: https://docs.segments.ai/reference/api
    type: APIReference
  - url: openapi/segments-ai-openapi.yml
    type: OpenAPI
  - url: collections/segments-ai.postman_collection.json
    type: PostmanCollection
  - url: collections/segments-ai.opencollection.json
    type: OpenCollection
  description: Create, list, retrieve, and delete versioned, immutable snapshots
    of a dataset's labels for export and reproducible ML training.
common:
- type: GitHubOrganization
  url: https://github.com/segments-ai
- type: LinkedIn
  url: https://www.linkedin.com/company/segments-ai
- type: Website
  url: https://segments.ai
- type: Documentation
  url: https://docs.segments.ai
- type: Plans
  url: plans/segments-ai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/segments-ai-rate-limits.yml
- type: FinOps
  url: finops/segments-ai-finops.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com