# mobilenet-v2-imagenet-tf1 Efficient mobile classifier using specialized architecture for fast image recognition on phones. **Details** - Model name: `mobilenet-v2-imagenet-tf1` - Model source: [https://github.com/tensorflow/models/tree/archive/research/slim#pre-trained-models](https://github.com/tensorflow/models/tree/archive/research/slim#pre-trained-models) - Model author: Mark Sandler, et al. - Model license: Apache 2.0 - Model size: 13.64 MB - Exposes embeddings? yes - Tags: `classification, embeddings, logits, imagenet, tf1, mobilenet` **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("mobilenet-v2-imagenet-tf1") dataset.apply_model(model, label_field="predictions") session = fo.launch_app(dataset) ```