Open Source Annotation Tool
(Redirected from Open-Source Labeling Tool)
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An Open Source Annotation Tool is an open source annotation tool that provides data labeling capabilities for machine learning dataset preparation.
- AKA: Open-Source Labeling Tool, Free Annotation Software, Community Annotation Tool, Open Source Data Annotation Tool.
- Context:
- It can typically provide source code access for customization and extension.
- It can typically enable community contributions through pull requests and issue tracking.
- It can typically support multi-modal annotation across text data, image data, video data, and audio data.
- It can typically offer self-hosting options for data privacy and compliance requirements.
- It can often integrate with machine learning frameworks through APIs and SDKs.
- It can often provide collaborative annotation features for team-based projects.
- It can range from being a Simple Annotation Tool to being a Complex Annotation Platform, depending on its feature set.
- It can range from being a Desktop Annotation Tool to being a Web-Based Annotation Tool, depending on its deployment architecture.
- It can range from being a Single-User Tool to being an Enterprise Annotation System, depending on its scalability.
- It can range from being a Manual Annotation Tool to being an ML-Assisted Annotation Tool, depending on its automation capability.
- ...
- Example(s):
- Label Studio for comprehensive multi-modal data annotation.
- Web-Based Open Source Annotation Tools, such as:
- Desktop Open Source Annotation Tools, such as:
- ...
- Counter-Example(s):
- Prodigy Tool, which is a commercial annotation tool.
- Amazon SageMaker Ground Truth, which is a cloud-native annotation service.
- Scale AI, which is a managed annotation service.
- See: Label Studio, Data Annotation Tool, Open Source Software, Machine Learning Tool, Annotation Framework, Community-Driven Development, Self-Hosted Annotation Platform, Multi-Modal Annotation Framework, Collaborative Annotation Platform, ML-Assisted Annotation System.