Label Studio

개발자 도구

OpenClaw의 Neotask이 Label Studio 데이터 레이블링 파이프라인을 자동화합니다 — 프로젝트 생성, 사전 주석 배포, 주석 품질 추적을 수작업 없이 수행합니다.

할 수 있는 것

The Label Studio integration gives Neotask 10 actions for annotation project management through OpenClaw.

| 영역 | 액션 | 기능 설명 |

|------|---------|-------------|

| Project Management | Get all projects, get project details, get project config, create project, update project config | Full project lifecycle from creation to configuration management |

| 작업 관리 | List project tasks, get task data, get task annotations, import tasks | Manage the data that needs labeling and track annotation progress |

| Predictions | Create prediction | Add model pre-annotations to tasks to accelerate human review |

모든 액션은 자율적으로 실행되거나 승인을 요청합니다 — 여러분이 결정합니다.

이렇게 물어보세요

  • "Create a new Label Studio project for image classification with a 10-category taxonomy"
  • "Import this batch of 500 images into the 'Medical Images' project as unlabeled tasks"
  • "Get all annotations from the 'Sentiment Analysis' project and export them for model training"
  • "Create pre-annotations for these tasks using our current model's predictions"
  • "What's the current labeling config for the 'NER Pipeline' project?"
  • "List all tasks in the 'Fraud Detection' project that haven't been annotated yet"
  • "Update the labeling config for the 'Document Classification' project to add two new categories"

    • 프로 팁

  • Use prediction creation to implement active learning: your agent submits model predictions as pre-annotations and humans correct only the uncertain ones
  • Combine Label Studio with your model training pipeline in an app group so completed annotations automatically trigger retraining
  • Schedule batch task imports: your agent pulls data from your storage bucket and imports it into the right project on a regular cadence
  • Approval gates on project configuration updates prevent accidental labeling interface changes mid-annotation
  • Use task annotation retrieval to monitor inter-annotator agreement and flag tasks where reviewers disagree

    • Works Well With