inception-resnet-v2-imagenet-tf1#

High-accuracy image classifier with advanced architecture for precise categorization and feature extraction.

Details

  • Model name: inception-resnet-v2-imagenet-tf1

  • Model source: tensorflow/models

  • Model author: Christian Szegedy, et al.

  • Model license: Apache 2.0

  • Model size: 213.81 MB

  • Exposes embeddings? yes

  • Tags: classification, embeddings, logits, imagenet, tf1, inception, resnet

Requirements

  • CPU support

    • yes

    • Packages: tensorflow<2

  • GPU support

    • yes

    • Packages: tensorflow-gpu<2

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("inception-resnet-v2-imagenet-tf1")
12
13dataset.apply_model(model, label_field="predictions")
14
15session = fo.launch_app(dataset)