fiftyone.zoo.datasets.tf.ImageNet2012Dataset

The ImageNet 2012 dataset.

ImageNet, as known as ILSVRC 2012, is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). ImageNet provides on average 1,000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. In its completion, we hope ImageNet will offer tens of millions of cleanly sorted images for most of the concepts in the WordNet hierarchy.

Note that labels were never publicly released for the test set, so only the training and validation sets are provided.

In order to load the ImageNet dataset, you must download the source data manually. The directory should be organized in the following format:

source_dir/
    ILSVRC2012_devkit_t12.tar.gz    # both splits
    ILSVRC2012_img_train.tar        # train split
    ILSVRC2012_img_val.tar          # validation split

You can register at http://www.image-net.org/download-images in order to get links to download the data.

Example usage:

import fiftyone as fo
import fiftyone.zoo as foz

# The path to the source files that you manually downloaded
source_dir = "/path/to/dir-with-imagenet-files"

dataset = foz.load_zoo_dataset(
    "imagenet-2012",
    split="validation",
    source_dir=source_dir,
)

session = fo.launch_app(dataset)

Dataset size

144.02 GB

Source

http://image-net.org