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LightlyStudio

Open Source
Data Annotation and Synthesis Updated Apr 7, 2026
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🔄 Updated Apr 2026 🖥️ Self-hostable

Overview

LightlyStudio is an open-source tool used for curating, annotating, and managing vision datasets, including images and videos. It supports embedding-based auto-selection, annotation, and auto-labeling for bounding boxes and segmentation. This tool is designed to simplify the process of preparing datasets for machine learning models.

Problem It Solves

Efficiently annotating and managing large vision datasets

Target Audience: Data scientists and machine learning engineers

Inputs

  • Image files
  • Video files
  • Dataset metadata

Outputs

  • Annotated datasets
  • Labeled images
  • Segmentation masks

Example Workflow

  1. 1 Data ingestion
  2. 2 Data preprocessing
  3. 3 Annotation
  4. 4 Auto-labeling
  5. 5 Quality control
  6. 6 Dataset export

Sample System Prompt


              Annotate a dataset of 1000 images with bounding boxes for object detection

            

Tools & Technologies

OpenCV TensorFlow PyTorch

Alternatives

  • Labelbox
  • Hugging Face Datasets
  • CVAT

FAQs

Is this agent open-source?
Yes
Can this agent be self-hosted?
Yes
What skill level is required?
Intermediate

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LightlyStudio