Ross ROSS = Recommend OSS · open-source software intelligence for agents

AlexeyAB/Yolo_mark

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 observed · 2026-08-28

github.com/AlexeyAB/Yolo_mark · homepage · C++ · Unlicense (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3546
  • days_rel: n/a
  • days_push: 2092
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1840 stars · 673 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

application · maturity maintenance

gui image-processing machine-learning deep-learning computer-vision machine-learning deep-learning developer-tools windows cpp image-annotation bounding-box-labeling yolo darknet object-detection training-data opencv linux desktop

2 sources

Member repositories

RepositoryRoleHealth v2
AlexeyAB/Yolo_markmain32

For agents

markdown · JSON · MCP: product_card(name="AlexeyAB/Yolo_mark")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem