aid: roboflow name: Roboflow description: Roboflow is a computer vision platform used by over one million engineers to annotate images, train custom models, and deploy them to production from the cloud to the edge. The platform spans dataset management and AI-assisted labeling, model training (RF-DETR, YOLO and NAS architectures), evaluation with mAP and confusion-matrix analysis, and low-code Workflows that compose models with logic and visualization into deployable pipelines. Deployment options include a serverless hosted inference API, dedicated deployments, batch processing, self-hosted Docker inference servers, in-browser inference, and managed edge devices. Roboflow Universe publishes a large open library of community datasets and models. Developers reach the platform through a REST API, a Python SDK and CLI, an OpenAPI-described inference server, and a hosted OAuth-protected MCP server paired with first-party Agent Skills. image: https://cdn.prod.website-files.com/5f6bc60e665f54545a1e52a5/670954c541fe7e67c3d2cb01_og-logo.png url: https://raw.githubusercontent.com/api-evangelist/roboflow/refs/heads/main/apis.yml x-type: company x-source: harvest:secondary-market specificationVersion: '0.20' created: '2026-08-02' modified: '2026-08-02' tags: - Computer Vision - Machine Learning - Artificial Intelligence - Object Detection - Image Annotation - Model Training - Inference - MLOps - Edge AI - Datasets apis: - aid: roboflow:inference name: Roboflow Inference Server API description: The OpenAPI-described inference surface of the Roboflow platform. Runs trained Roboflow models plus a catalog of foundation models — CLIP and Perception Encoder embeddings, Grounding DINO, YOLO-World and OWLv2 open-vocabulary detection, SAM/SAM2/SAM3 segmentation, DocTR/EasyOCR/TrOCR/PP-OCR text extraction, depth estimation, and large multimodal models — over HTTP. The same specification is served by the hosted serverless endpoints and by a self-hosted Docker inference server. humanURL: https://docs.roboflow.com/deployment/roboflow-cloud/serverless-api baseURL: https://serverless.roboflow.com tags: - Inference - Computer Vision - Object Detection - Segmentation - OCR properties: - type: OpenAPI url: openapi/roboflow-inference-openapi.json - type: Overlay url: overlays/roboflow-inference-overlay.yaml - type: Documentation url: https://docs.roboflow.com/deployment/roboflow-cloud/serverless-api - aid: roboflow:rest name: Roboflow REST API description: The authoritative management interface to the Roboflow platform — workspaces, projects, dataset versions, image upload and annotation, training jobs, model evaluations, Workflows, folders, vision events and trash. Every platform feature ships here first; the Python SDK and CLI both call it. Resources are addressed hierarchically as /:workspace/:project/:version. Authenticated with a workspace-scoped API key; long-running operations return a task id to poll. humanURL: https://docs.roboflow.com/reference/platform/rest-api baseURL: https://api.roboflow.com tags: - Platform - Datasets - Model Training - Workflows properties: - type: Documentation url: https://docs.roboflow.com/reference/platform/rest-api - type: Authentication url: https://docs.roboflow.com/reference/platform/rest-api/authenticate-with-the-rest-api - type: ErrorCodes url: https://docs.roboflow.com/reference/errors-and-status-codes - aid: roboflow:mcp name: Roboflow MCP Server description: Roboflow's hosted, remote Model Context Protocol server. Exposes 67 tools across agent chat, projects, images, annotation, batches, dataset versions, model training, model evaluations, Workflows, edge devices and streams, and Roboflow Universe search. Authenticated with OAuth 2.1 (authorization code + PKCE) against app.roboflow.com with RFC 7591 dynamic client registration — no API key required. humanURL: https://docs.roboflow.com/agents/agents/mcp-server baseURL: https://mcp.roboflow.com/mcp tags: - MCP - Agents - Computer Vision properties: - type: MCPServer url: mcp/roboflow-mcp.yml - type: ToolCrosswalk url: mcp/roboflow-tool-crosswalk.yml - type: Documentation url: https://docs.roboflow.com/agents/agents/mcp-server maintainers: - FN: Kin Lane email: kin@apievangelist.com - FN: APIs.json email: info@apis.io common: - type: DomainSecurity url: security/roboflow-domain-security.yml - type: Website url: https://roboflow.com - type: DeveloperPortal url: https://docs.roboflow.com - type: Documentation url: https://docs.roboflow.com - type: APIReference url: https://docs.roboflow.com/reference/platform/rest-api - type: GettingStarted url: https://docs.roboflow.com/guides/model-training - type: Support url: https://docs.roboflow.com/platform/support - type: HelpCenter url: https://help.roboflow.com/ - type: Community url: https://discuss.roboflow.com/ - type: Blog url: https://blog.roboflow.com/ - type: GitHubOrganization url: https://github.com/roboflow - type: Pricing url: https://roboflow.com/pricing - type: SignUp url: https://app.roboflow.com/login - type: TermsOfService url: https://roboflow.com/terms - type: PrivacyPolicy url: https://roboflow.com/privacy - type: StatusPage url: https://status.roboflow.com/ - type: ChangeLog url: changelog/roboflow-changelog.yml - type: Lifecycle url: lifecycle/roboflow-lifecycle.yml - type: Authentication url: authentication/roboflow-authentication.yml - type: OAuthScopes url: scopes/roboflow-scopes.yml - type: WellKnown url: well-known/roboflow-well-known.yml - type: Packages url: packages/roboflow-packages.yml - type: SDKs url: packages/roboflow-packages.yml - type: CLI url: cli/roboflow-cli.yml - type: LLMsTxt url: llms/roboflow-llms.txt - type: Conventions url: conventions/roboflow-conventions.yml - type: ErrorCatalog url: errors/roboflow-error-codes.yml - type: RateLimits url: rate-limits/roboflow-rate-limits.yml - type: Conformance url: conformance/roboflow-conformance.yml - type: Compliance url: https://roboflow.com/security - type: TrustCenter url: security/roboflow-trust-center.yml - type: DataModel url: data-model/roboflow-data-model.yml - type: AgenticAccess url: agentic-access/roboflow-agentic-access.yml - type: AgentSkill url: skills/_index.yml x-enrichment: date: '2026-08-02' status: enriched artifacts_added: 34 pass: local-v1