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YOLO11s FP16 Ov

Model creator: Ultralytics Original model: Ultralytics/YOLO11

TypeOtherModèle de baseUltralytics/YOLO11VersionRevision 5f3f07bÉditeur@OpenVINOCClasse

Source du modèle

Type
Other
Taille du fichier
18,1 MB
Modèle de base
Ultralytics/YOLO11
Version
vRevision 5f3f07b
Mis à jour
22 oct. 2026
Éditeur
@OpenVINO
Téléchargements
61
Source
Hugging Face

Description de la source

YOLO11s-fp16-ov

Description

This is Ultralytics/YOLO11 model converted to the OpenVINOTM IR (Intermediate Representation) format with weights compressed to FP16.

Compatibility

The provided OpenVINOTM 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

  1. Install required packages:
pip install openvino-model-api[huggingface]
  1. 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/YOLO11s-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.

Sources

1 source
Hugging FacePrincipalVersion 5f3f07b1b39aeb77dd9dec2ea0c80ac1f293cb9e
huggingface.co/OpenVINO/YOLO11s-fp16-ov/tree/5f3f07b1b39aeb77dd9dec2ea0c80ac1f293cb9e

Vérifié 22 oct.

Artefacts du modèle

1 artefact

yolo11s.bin

bin · 18,1 MB · SHA-256 8c21c8087997…600a · Hugging Face

Télécharger

Extraits de sources

3 extraits

--- license: agpl-3.0 tags: - object-detection - vision base_model: - Ultralytics/YOLO11 base_model_relation: finetune --- # YOLO11s-fp16-ov - Model creator: [Ultralytics](https://huggingface.co/Ultralytics) - Original model: [Ultralytics/YOLO11](https://huggingface.co/Ultralytics/YOLO11) ## Description This is [Ultralytics/YOLO11](https://huggingface.co/Ultralytics/YOLO11) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (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](https://github.com/open-edge-platform/model_api) 1. Install required packages: ```sh pip install openvino-model-api[huggingface] ``` <!-- markdownlint-disable MD029 --> 2. Run model inference: ```python import cv2 from model_api.models import Model from model_api.visualizer import Visualizer # 1. Load model model = Model.from_pretrained("OpenVINO/YOLO11s-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](https://open-edge-platform.github.io/model_api/latest/). ## Limitations Check the [original model card](https://huggingface.co/Ultralytics/YOLO11) for limitations. ## Legal information The original model is distributed under [GNU Affero General Public License v3.0](https://choosealicense.com/licenses/agpl-3.0/) license. More details can be found in [Ultralytics/YOLO11](https://huggingface.co/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](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). 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.

Source context: 61 downloads · 0 likes · Pipeline object-detection · Repo OpenVINO/YOLO11s-fp16-ov

Source context: 24 downloads · 0 likes · Pipeline object-detection · Repo OpenVINO/YOLO11s-fp16-ov