yolo11s-seg-coco-torch

Model creating object masks quickly for real-time segmentation applications.

Details

• Model name: yolo11s-seg-coco-torch

• Model source: https://docs.ultralytics.com/models/yolo11/#__tabbed_1_2

• Model author: Glenn Jocher, et al.

• Model license: AGPL-3.0

• Model size: 19.71 MB

• Exposes embeddings? no

• Tags: instances, coco, torch, yolo, official

Requirements

• Packages: torch>=1.7.0, torchvision>=0.8.1, ultralytics>=8.3.0

• CPU support

  • yes

• GPU support

  • yes

Example usage

import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset(
    "coco-2017",
    split="validation",
    dataset_name=fo.get_default_dataset_name(),
    max_samples=50,
    shuffle=True,
)

model = foz.load_zoo_model("yolo11s-seg-coco-torch")

dataset.apply_model(model, label_field="predictions")

session = fo.launch_app(dataset)