vgg16-imagenet-tf1

TensorFlow version of the classic image classifier supporting legacy production systems.

Details

• Model name: vgg16-imagenet-tf1

• Model source: https://gist.github.com/ksimonyan/211839e770f7b538e2d8#file-readme-md

• Model author: Karen Simonyan, et al.

• Model license: CC-BY-4.0

• Model size: 527.80 MB

• Exposes embeddings? yes

• Tags: classification, embeddings, logits, imagenet, tf1, vgg, legacy

Requirements

• CPU support

  • yes

  • Packages: tensorflow<2

• GPU support

  • yes

  • Packages: tensorflow-gpu<2

Example usage

import fiftyone as fo
import fiftyone.zoo as foz

dataset = foz.load_zoo_dataset(
    "imagenet-sample",
    dataset_name=fo.get_default_dataset_name(),
    max_samples=50,
    shuffle=True,
)

model = foz.load_zoo_model("vgg16-imagenet-tf1")

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

session = fo.launch_app(dataset)