mgumowsk/YOLO11

YOLO11 (Ultralytics) — OpenVINO IR exports

Fast, lightweight OpenVINO™ IR exports of Ultralytics YOLO11 detection models (N/S/M/L), ready for local inference on CPU (and Intel GPU/NPU via OpenVINO).

What you get

Variant	Files	Notes
YOLO11-N	YOLO-11-N.xml + YOLO-11-N.bin	Smallest / fastest
YOLO11-S	YOLO-11-S.xml + YOLO-11-S.bin	Small
YOLO11-M	YOLO-11-M.xml + YOLO-11-M.bin	Medium
YOLO11-L	YOLO-11-L.xml + YOLO-11-L.bin	Large

Example detections

Quickstart (Python)

Install dependencies:

pip install openvino-model-api opencv-python

Minimal example using model_api and Visualizer:

import cv2
from model_api.models import Model
from model_api.visualizer import Visualizer

# 1. Load model
model = Model.create_model("YOLO-11-N.xml", device="CPU")

# 2. Load image
image = cv2.imread("image.jpg")
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

# 3. Run inference
result = model(image)

# 4. Visualize and save results
vis = Visualizer().render(image, result)
cv2.imwrite("output.jpg", cv2.cvtColor(vis, cv2.COLOR_RGB2BGR))

Tips

• Choose your variant: start with N for speed, move up to S/M/L for accuracy.
• Device selection: OpenVINO can target CPU, Intel GPU, and NPU when available. See Ultralytics’ OpenVINO guide for device examples.
• Labels: If you want class names, pass path_to_labels/labels via Model API configuration.

Attribution & licensing

• Upstream base models: Ultralytics YOLO11 — https://huggingface.co/Ultralytics/YOLO11
• Ultralytics license overview and terms: the upstream project is released under AGPL-3.0 with an enterprise licensing option for some commercial scenarios. Always review upstream licensing before use:
  • Ultralytics LICENSE: https://github.com/ultralytics/ultralytics/blob/main/LICENSE
  • Ultralytics licensing page: https://www.ultralytics.com/license

This repository contains OpenVINO exports of those models; attribution and licensing follow the upstream Ultralytics terms.

Useful links

• OpenVINO Model API: https://github.com/open-edge-platform/model_api
• Model API docs: https://open-edge-platform.github.io/model_api/latest/
• Ultralytics OpenVINO export docs: https://docs.ultralytics.com/integrations/openvino/