yolo26s-cls-imagenet-torch#

Fast image classifier balancing speed and accuracy.

Details

  • Model name: yolo26s-cls-imagenet-torch

  • Model source: https://docs.ultralytics.com/models/yolo26/

  • Model author: Glenn Jocher, et al.

  • Model license: AGPL-3.0

  • Model size: 12.99 MB

  • Exposes embeddings? no

  • Tags: classification, imagenet, torch, yolo, official

Requirements

  • Packages: torch>=1.7.0, torchvision>=0.8.1, ultralytics>=8.4.0

  • CPU support

    • yes

  • GPU support

    • yes

Example usage

 1import fiftyone as fo
 2import fiftyone.zoo as foz
 3
 4dataset = foz.load_zoo_dataset(
 5    "imagenet-sample",
 6    dataset_name=fo.get_default_dataset_name(),
 7    max_samples=50,
 8    shuffle=True,
 9)
10
11model = foz.load_zoo_model("yolo26s-cls-imagenet-torch")
12
13dataset.apply_model(model, label_field="predictions")
14
15session = fo.launch_app(dataset)