yolo-datasets SKILL.md skillA

yolo-datasets from ultralytics/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ultralytics/skills/yolo-datasets@git:20261105.f8d5715

Pins git:20261105.f8d5715 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ultralytics/skills
Path
skills/yolo-datasets/SKILL.md
Versions recorded
9
Latest version
git:20261105.f8d5715, committed Nov 5, 2026
First version recorded
Aug 11, 2026
Size
7,645 bytes
Repository stars
38
License
AGPL-3.0

Use when uploading, annotating, building, converting, analyzing, or debugging datasets in Ultralytics Platform or local YOLO — Platform dataset management and Smart Annotation, data.yaml, YOLO label .txt formats, COCO/DOTA/mask conversion, auto-labeling, splits, validation, and errors like "no labels found" or mAP near 0. Covers detect, segment, semantic, depth, classify, pose, and OBB data.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Ultralytics YOLO datasets

The #1 cause of silent training failure is a malformed dataset — validate before training.

## Fastest route: prepare data in Platform

1. Open [Platform](https://platform.ultralytics.com), create a dataset under **Annotate**, and choose its task.
2. Upload images, videos, ZIP/TAR archives, or NDJSON. Existing YOLO labels and COCO JSON can be imported; cloud-storage integrations can keep supported data in place.
3. Open an image in the fullscreen editor. Use manual tools for detect, segment, semantic, classify, pose, or OBB. Switch to **Smart** mode to label with SAM (detect, segment, semantic, OBB) or a compatible official/custom YOLO model (those tasks plus pose).
4. Review the **Classes**, **Charts**, and **Errors** tabs, fix the split, and create a numbered dataset version before important runs.

Platform datasets cover all seven YOLO tasks. Depth targets are imported rather than drawn in the editor. See [Platform Data](https://docs.ultralytics.com/platform/data) and the [Annotation Editor](https://docs.ultralytics.com/platform/data/annotation).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ultralytics/skills/yolo-datasets@sha256:bc91d9cede69199c

The line at the top of this page pins the label git:20261105.f8d5715, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_cbxkyabqsaoggysd.svg)](https://markdownregistry.com/a/art_cbxkyabqsaoggysd)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 9 versions of this file, between Aug 11, 2026 and Nov 5, 2026, about one every 11 days.

versioncommittedcommitsizeaudit
git:20261105.f8d5715 latest2026-11-05 f8d5715 7,645 BA view · diff
git:20261010.607a76c2026-10-10 607a76c 7,452 BA view · diff
git:20261006.acfe53c2026-10-06 acfe53c 7,407 BA view · diff
git:20261006.e5cd7b82026-10-06 e5cd7b8 7,397 BA view · diff
git:20260904.9c3b8ec2026-09-04 9c3b8ec 7,091 BA view · diff
git:20260820.dcee0db2026-08-20 dcee0db 7,027 BA view · diff
git:20260814.05a799c2026-08-14 05a799c 7,029 BA view · diff
git:20260811.e35dbcc2026-08-11 e35dbcc 6,647 BA view · diff
git:20260811.47343d92026-08-11 47343d9 5,290 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7645 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ultralytics/skills · 38 stars · license AGPL-3.0 · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_cbxkyabqsaoggysd
GET https://markdownregistry.com/api/v1/resolve?ref=ultralytics/skills/yolo-datasets
GET https://markdownregistry.com/api/v1/blob/bc91d9cede69199c62b8cf75f93114b4cdceddb3deacef78fbd4963765487653

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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