# 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](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** ```python 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) ```