aid: amazon-lookout-for-vision
name: Amazon Lookout for Vision
description: Amazon Lookout for Vision is a machine learning service that spots defects and anomalies in visual representations
  using computer vision. With just a small sample of images, it builds a custom computer vision model to enable you to identify
  damaged products or issues before production issues arise. It supports projects, datasets, model training, and real-time
  anomaly detection.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
- AWS
- Computer Vision
- Machine Learning
- Manufacturing
- Quality Inspection
- Anomaly Detection
url: https://raw.githubusercontent.com/api-evangelist/amazon-lookout-for-vision/refs/heads/main/apis.yml
created: '2026-03-16'
modified: '2026-05-19'
specificationVersion: '0.19'
apis:
- aid: amazon-lookout-for-vision:amazon-lookout-for-vision-api
  name: Amazon Lookout for Vision API
  description: The Amazon Lookout for Vision API provides programmatic access to create and manage projects, datasets, models,
    and anomaly detection jobs for visual quality inspection using computer vision. Supports 22 operations covering the full
    model lifecycle from dataset management through real-time anomaly detection.
  humanURL: https://aws.amazon.com/lookout-for-vision/
  baseURL: https://lookoutvision.amazonaws.com
  tags:
  - Computer Vision
  - Machine Learning
  - Quality Inspection
  - Anomaly Detection
  properties:
  - type: Documentation
    url: https://docs.aws.amazon.com/lookout-for-vision/latest/APIReference/Welcome.html
  - type: OpenAPI
    url: openapi/amazon-lookout-for-vision-openapi-original.yaml
  - type: GettingStarted
    url: https://aws.amazon.com/lookout-for-vision/getting-started/
  - type: Pricing
    url: https://aws.amazon.com/lookout-for-vision/pricing/
  - type: FAQ
    url: https://aws.amazon.com/lookout-for-vision/faqs/
  - type: JSONSchema
    url: json-schema/amazon-lookout-for-vision-anomaly-class-schema.json
  - type: JSONStructure
    url: json-structure/amazon-lookout-for-vision-anomaly-class-structure.json
  - type: JSONLD
    url: json-ld/amazon-lookout-for-vision-context.jsonld
  - type: NaftikoCapability
    url: capabilities/amazon-lookout-for-vision.yaml
common:
- type: Portal
  url: https://aws.amazon.com/lookout-for-vision/
- type: Documentation
  url: https://docs.aws.amazon.com/lookout-for-vision/
- type: TermsOfService
  url: https://aws.amazon.com/service-terms/
- type: PrivacyPolicy
  url: https://aws.amazon.com/privacy/
- type: Support
  url: https://aws.amazon.com/premiumsupport/
- type: Blog
  url: https://aws.amazon.com/blogs/machine-learning/tag/amazon-lookout-for-vision/
- type: GitHubOrganization
  url: https://github.com/aws
- type: Console
  url: https://console.aws.amazon.com/lookoutvision/
- type: SignUp
  url: https://portal.aws.amazon.com/billing/signup
- type: Login
  url: https://signin.aws.amazon.com/
- type: StatusPage
  url: https://health.aws.amazon.com/health/status
- type: Contact
  url: https://aws.amazon.com/contact-us/
- type: SpectralRules
  url: rules/amazon-lookout-for-vision-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/amazon-lookout-for-vision-vocabulary.yaml
- type: Features
  data:
  - name: Custom Computer Vision Models
    description: Build custom visual inspection models with just a small sample of images, no ML expertise required.
  - name: Real-Time Defect Detection
    description: Run inference on images in real time to detect defects and anomalies on the production line.
  - name: Edge Deployment
    description: Package and deploy models to edge devices for local inference without cloud connectivity.
  - name: Dataset Management
    description: Manage labeled training and test datasets directly through the API.
  - name: Model Packaging Jobs
    description: Package trained models for deployment to AWS IoT Greengrass edge devices.
- type: UseCases
  data:
  - name: Manufacturing Quality Control
    description: Automate visual inspection of manufactured products to detect surface defects, assembly errors, and damaged
      items.
  - name: Electronics Assembly Inspection
    description: Detect solder defects, missing components, and board damage in electronics manufacturing.
  - name: Food and Beverage Quality
    description: Identify contaminated, damaged, or improperly packaged food products on production lines.
  - name: Pharmaceutical Packaging
    description: Verify correct labeling, packaging integrity, and tablet quality in pharmaceutical manufacturing.
  - name: Automotive Parts Inspection
    description: Detect cracks, scratches, and dimensional defects in automotive components.
- type: Integrations
  data:
  - name: Amazon S3
    description: Store training images and dataset manifests in S3 buckets.
  - name: AWS IoT Greengrass
    description: Deploy packaged models to IoT Greengrass edge devices for local inference.
  - name: Amazon CloudWatch
    description: Monitor model performance metrics and detection results in CloudWatch.
  - name: AWS KMS
    description: Encrypt model artifacts using AWS Key Management Service.
- type: Integrations
  url: https://aws.amazon.com/partners/
integrations:
- name: Partner Programs
- name: Resources
- name: Success Stories
- name: Work with an AWS Partner
- name: AWS Marketplace
- name: AWS Partner Central
- name: Partner Paths
- name: co-sell with AWS
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com