# abreheret/PixelAnnotationTool

Annotate quickly images.

Repository: https://github.com/abreheret/PixelAnnotationTool
Canonical: https://ross.abutalabs.com/products/pixelannotationtool
Language: C++
License: LGPL-3.0
License Family: copyleft
Topics: computer-vision, deep-learning, pixel-wise, ground-truth, annotation-tool, opencv, qt5, annotation, pixel, tool, image-labeling, image-seg-tool, labeling-tool
Last push: 2022-11-21T13:39:21+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3256, "days_push": 1381, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1455, forks 308 (observed 2026-08-28T04:04:46.793324+00:00)

## What it is
A C++ desktop application for quickly annotating images with pixel-wise labels using OpenCV's watershed algorithm. Users draw markers with brushes and the algorithm propagates segmentation, which can be refined iteratively.

## Use cases
- annotate images for semantic segmentation ground truth
- create pixel-wise masks for deep learning training data
- label image datasets quickly with watershed-assisted segmentation
- generate color mask annotations for computer vision projects
- refine image segmentation manually with brush markers

## When to choose
- you need pixel-wise ground truth masks for image segmentation datasets
- you want semi-automatic annotation that is faster than fully manual labeling
- you work on Linux, macOS, or Windows and can use prebuilt binaries

## When to avoid
- you need bounding-box-only annotation rather than pixel-wise masks
- you want a web-based or collaborative annotation tool
- you need active development or recent feature updates

## Facets
- artifact type: application
- maturity: maintenance
- function: image-processing, computer-vision, gui
- domain: computer-vision, image-processing, machine-learning, deep-learning
- platform: windows, cpp
- tags: image-annotation, semantic-segmentation, watershed, opencv, qt5, ground-truth, labeling-tool, linux, macos, desktop

## Member repositories
- abreheret/PixelAnnotationTool (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:46.793324+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 2026-08-30T04:35:38.156883+00:00, confidence not recorded.
  - readme: https://github.com/abreheret/PixelAnnotationTool (fetched 2026-08-28T04:04:46.793324+00:00, sha e5e08c28cc23)
- Data as of 2026-08-30T08:39:29.467469+00:00.