lookout-vision-diagnostics

name	lookout-vision-diagnostics
version	1.0.0
last_updated	2025-04-12
description	Use this skill to investigate and troubleshoot Amazon Lookout for Vision problems by analyzing project creation, dataset imports, model training, model evaluation, inference errors, edge deployment, image quality, labeling errors, S3 permissions, model packaging, Greengrass integration, and following structured runbooks. Activate when: project creation failures, dataset import errors, model training failures, model evaluation issues, inference errors, edge deployment failures, image quality issues, labeling errors, S3 permission problems, model packaging errors, Greengrass integration issues, or the user says something is wrong with Lookout for Vision.
compatibility	Requires AWS CLI or SDK access with lookoutvision, s3, iam, greengrass, kms, cloudtrail, and cloudwatch permissions.

Amazon Lookout for Vision Diagnostics

When to use

Any Amazon Lookout for Vision investigation — project creation, dataset imports, model training, model evaluation, inference errors, edge deployment, image quality, labeling, S3 permissions, model packaging, or Greengrass integration.

Investigation workflow

Step 1 — Collect and triage

aws lookoutvision list-projects --query 'Projects[*].{Name:ProjectName,Arn:ProjectArn,CreatedAt:CreationTimestamp}'
aws lookoutvision list-models --project-name <project> --query 'Models[*].{Version:ModelVersion,Arn:ModelArn,Status:Status}'
aws lookoutvision list-datasets --project-name <project>