yolo-tuning SKILL.md skillA
yolo-tuning from ultralytics/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ultralytics/skills/yolo-tuning@git:20261101.a2f590fPins git:20261101.a2f590f 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-tuning/SKILL.md- Versions recorded
- 7
- Latest version
- git:20261101.a2f590f, committed Nov 1, 2026
- First version recorded
- Aug 11, 2026
- Size
- 5,725 bytes
- Repository stars
- 38
- License
- AGPL-3.0
Use when improving or comparing Ultralytics YOLO models in Platform or code, or running hyperparameter search/autotraining — Platform experiment comparison, the systematic improvement playbook, model.tune() genetic evolution, Ray Tune, search spaces, and deciding whether tuning is worthwhile. For one training run and its arguments, see yolo-training.
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
# Improving models & hyperparameter tuning ## The improvement playbook (follow in order — tuning is the LAST step) Hyperparameter tuning is expensive and usually not the bottleneck. Escalate in this order, re-validating after each step: 1. **Fix the data** — check `confusion_matrix.png` and `train_batch*.jpg` for label noise; review the top false-negative/false-positive val images; add examples of failing classes and true-background images. Data quality beats every other lever. 2. **Train longer** — if val mAP was still rising at the end: more `epochs`, higher `patience`. 3. **Bigger input** — small objects or mAP<sub>50</sub> ≫ mAP<sub>50-95</sub>: raise `imgsz` (640 → 960/1280). 4. **Bigger model** — underfitting (train and val both mediocre): n → s → m → l. 5. **Domain-matched augmentation** — aerial `degrees=180 flipud=0.5`, crowded scenes `mixup=0.1` (plus `copy_paste=0.3` for segment/OBB), color-critical classes lower `hsv_h` (see yolo-training's `training-args.md`). 6. **Only now: hyperparameter tuning** — worth ~0.5–2 mAP when everything above is exhausted. …
Read the whole file at its exact version.
How to install
mdr add ultralytics/skills/yolo-tuning@sha256:192e8a80fed689a5The line at the top of this page pins the label git:20261101.a2f590f, 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.
[](https://markdownregistry.com/a/art_s6hvrnpiujd5qyfj)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 7 versions of this file, between Aug 11, 2026 and Nov 1, 2026, about one every 14 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261101.a2f590f latest | 2026-11-01 | a2f590f | 5,725 B | A | view · diff |
| git:20261010.607a76c | 2026-10-10 | 607a76c | 5,680 B | A | view · diff |
| git:20261006.acfe53c | 2026-10-06 | acfe53c | 5,537 B | A | view · diff |
| git:20261006.e5cd7b8 | 2026-10-06 | e5cd7b8 | 5,421 B | A | view · diff |
| git:20260820.dcee0db | 2026-08-20 | dcee0db | 5,209 B | A | view · diff |
| git:20260811.e35dbcc | 2026-08-11 | e35dbcc | 5,210 B | A | view · diff |
| git:20260811.47343d9 | 2026-08-11 | 47343d9 | 4,560 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5725 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
ultralytics/skills · 38 stars · license AGPL-3.0 · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_s6hvrnpiujd5qyfj GET https://markdownregistry.com/api/v1/resolve?ref=ultralytics/skills/yolo-tuning GET https://markdownregistry.com/api/v1/blob/192e8a80fed689a5e2c6b19f9894a6ca14f3347fffaaa26ebf23d1b6fb412887
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.