# microsoft/VoTT

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

Repository: https://github.com/microsoft/VoTT
Canonical: https://ross.abutalabs.com/products/vott
Language: TypeScript
License: MIT
License Family: permissive
Topics: cntk, video-tagging, deep-learning, object-detection, labeling, detection, tagging, taggingtools, imagetagger, image-tagging, detection-model, tensorflow-object-detection-api, annotation-tool, image-annotation
Archived: true
Last push: 2021-12-06T21:10:56+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3534, "days_push": 1731, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4428, forks 832 (observed 2026-08-28T04:08:48.953862+00:00)

## What it is
VoTT (Visual Object Tagging Tool) is an open-source Electron application for annotating and labeling images and video frames to build object detection datasets. It supports importing assets from local or cloud storage and exporting labeled data for training machine learning models.

## Use cases
- annotate bounding boxes on images for object detection training
- label video frames for detection models
- export annotations to TensorFlow or other training pipelines
- label datasets stored in Azure blob storage
- create image tagging projects with a GUI

## When to choose
- you need a free GUI tool for image/video object detection labeling
- you want cloud storage integration (e.g., Azure) for annotation projects
- you need export formats compatible with common detection training pipelines

## When to avoid
- you need actively maintained software with bug fixes
- you require modern annotation features like SAM-assisted labeling
- you need collaborative or web-native multi-user annotation at scale

## Facets
- artifact type: application
- maturity: abandoned
- function: image-processing, machine-learning, gui
- domain: computer-vision, machine-learning, deep-learning, developer-tools
- platform: windows, cross-platform, browser
- tags: image-annotation, video-annotation, object-detection, labeling-tool, electron-app, data-labeling, computer-vision, linux, macos, electron

## Member repositories
- microsoft/VoTT (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:48.953862+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:20:55.416681+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/VoTT (fetched 2026-08-28T04:08:48.953862+00:00, sha 0483db9ca83a)
- Data as of 2026-08-30T08:39:29.467469+00:00.