# AlexeyAB/Yolo_mark

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

Repository: https://github.com/AlexeyAB/Yolo_mark
Canonical: https://ross.abutalabs.com/products/yolo_mark
Homepage: https://github.com/AlexeyAB/darknet
Language: C++
License: Unlicense
License Family: permissive
Topics: labeling, object-detection, dnn, training-yolo, marking-bounded-boxes, yolo, darknet
Last push: 2020-12-11T00:29:20+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3546, "days_push": 2092, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1840, forks 673 (observed 2026-08-28T04:05:42.967221+00:00)

## What it is
A Windows and Linux GUI application for drawing bounding boxes around objects in images to create labeled training data for YOLO v2/v3 object detection models. It also extracts frames from video files and generates the config files needed to train custom Darknet/YOLO detectors.

## Use cases
- label bounding boxes on images for yolo training
- create training data for custom object detection model
- extract frames from video for image labeling
- annotate images for darknet yolo v3
- generate obj.names and train.txt files for yolo training

## When to choose
- you are training YOLO v2/v3 (Darknet) models on custom objects and need labeled images
- you want a lightweight desktop annotation tool that outputs YOLO-format labels directly
- you need to extract frames from video files and label them in one workflow

## When to avoid
- you need annotations for other model formats like Pascal VOC or COCO
- you want a modern, actively maintained annotation tool with web collaboration
- you are training YOLOv4/v5 or newer models with different tooling ecosystems

## Facets
- artifact type: application
- maturity: maintenance
- function: gui, image-processing, machine-learning, deep-learning
- domain: computer-vision, machine-learning, deep-learning, developer-tools
- platform: windows, cpp
- tags: image-annotation, bounding-box-labeling, yolo, darknet, object-detection, training-data, opencv, linux, desktop

## Member repositories
- AlexeyAB/Yolo_mark (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:42.967221+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 2026-08-30T03:18:01.971142+00:00, confidence not recorded.
  - readme: https://github.com/AlexeyAB/Yolo_mark (fetched 2026-08-28T04:05:42.967221+00:00, sha cc6f2af718a2)
  - homepage: https://github.com/AlexeyAB/darknet (fetched 2026-08-29T10:57:03.601280+00:00, sha 471ee145c9dd)
- Data as of 2026-08-30T08:39:29.467469+00:00.