yolo-inference skillA
yolo-inference is agent-read markdown (skill) from ultralytics/skills: Use when testing, running, or deploying Ultralytics YOLO inference in Platform or code on images, video, webcams, or streams — Platform Predict and dedicated endpoints, model.predict()/yolo predict, Results API boxes/masks/keypoints, persistent tracking, annotated video, and Solutions such as counting, heatmaps, speed, queues, and parking. For optimized runtime exports, see yolo-export..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Inference, Results API & tracking
## Fastest route: test and deploy in Platform
Every Platform model has a **Predict** tab: upload an image, choose an example, or capture
a webcam frame; inference runs automatically and shows the task overlay, summary, raw
JSON, and timing. Adjust `conf`, `iou`, and `imgsz` with the same meanings used below.
For production, open **Deploy**, choose a nearby region, and wait for the dedicated
endpoint to become **Ready**. Its card provides health, metrics, logs, browser prediction,
and ready-to-use Python/JavaScript/cURL examples. Call `/predict` with a bearer API key:
```python
import requests
with open("image.jpg", "rb") as image_file:
response = requests.post(
"https://YOUR_DEPLOYMENT_URL.run.app/predict",
headers={"Authorization": "Bearer YOUR_API_KEY"},
files={"file": image_file},
data={"conf": 0.25, "iou": 0.7, "imgsz": 640},
)
response.raise_for_status()
print(response.json())
```
Dedicated endpoints use scale-to-zero, so expect a cold start after idle periods. See
[Platform Inference](https://docs.ultralytics.com/platform/deploy/inference) and
…Read the whole file at its exact version.
How to install
mdr add ultralytics/skills/yolo-inference@git:20260904.9c3b8ecmdr add ultralytics/skills/yolo-inference@sha256:7aad96b1c5365cbcPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_vd24caijcoivq3ne)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260904.9c3b8ec latest | 2026-09-04 | 9c3b8ec | 9,945 B | A | view · diff |
| git:20260820.dcee0db | 2026-08-20 | dcee0db | 9,804 B | A | view · diff |
| git:20260814.05a799c | 2026-08-14 | 05a799c | 9,806 B | A | view · diff |
| git:20260811.e35dbcc | 2026-08-11 | e35dbcc | 7,977 B | A | view · diff |
| git:20260811.47343d9 | 2026-08-11 | 47343d9 | 6,802 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 (9945 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 · 25 stars · license AGPL-3.0 · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vd24caijcoivq3ne GET https://markdownregistry.com/api/v1/resolve?ref=ultralytics/skills/yolo-inference GET https://markdownregistry.com/api/v1/blob/7aad96b1c5365cbc3827bd58601de0e16d5a9526248fd43e632be307fffe0b9d
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