license: agpl-3.0
tags:
- object-detection
- vision
base_model:
- Ultralytics/YOLO11
base_model_relation: finetune
YOLO11x-fp16-ov
- Model creator: Ultralytics
- Original model: Ultralytics/YOLO11
Description
This is Ultralytics/YOLO11 model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to FP16.
Compatibility
The provided OpenVINO™ IR model is compatible with:
- OpenVINO version 2026.1.0 and higher
- Model API 0.4.0 and higher
Running Model Inference with Model API
- Install required packages:
pip install openvino-model-api[huggingface]
- Run model inference:
import cv2
from model_api.models import Model
from model_api.visualizer import Visualizer
# 1. Load model
model = Model.from_pretrained("OpenVINO/YOLO11x-fp16-ov")
# 2. Load image
image = cv2.imread("image.jpg")
# 3. Run inference
result = model(image)
# 4. Visualize and save results
vis = Visualizer().render(image, result)
cv2.imwrite("output.jpg", vis)
For more examples and possible optimizations, refer to the Model API Documentation.
Limitations
Check the original model card for limitations.
Legal information
The original model is distributed under GNU Affero General Public License v3.0 license. More details can be found in Ultralytics/YOLO11.
Disclaimer
Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.