{c}

= ILSVRC
{c}
{synonym}
{title2}

= ImageNet1k
{c}
{synonym}
{title2}

Subset of <ImageNet>. About 167.62 GB in size according to https://www.kaggle.com/competitions/imagenet-object-localization-challenge/data[].

Contains 1,281,167 images and exactly 1k categories which is why this dataset is also known as ImageNet1k: https://datascience.stackexchange.com/questions/47458/what-is-the-difference-between-imagenet-and-imagenet1k-how-to-download-it

https://www.kaggle.com/competitions/imagenet-object-localization-challenge/overview clarifies a bit further how the categories are inter-related according to <WordNet> relationships:
> The 1000 object categories contain both internal nodes and leaf nodes of ImageNet, but do not overlap with each other.

https://image-net.org/challenges/LSVRC/2012/browse-synsets.php lists all 1k labels with their <WordNet> IDs.
``
n02119789: kit fox, Vulpes macrotis
n02100735: English setter
n02096294: Australian terrier
``
There is a bug on that page however towards the middle:
``
n03255030: dumbbell
href="ht:
n02102040: English springer, English springer spaniel
``
and there is one missing label if we ignore that dummy `href=` line. A thinkg of beauty!

Also the lines are not sorted by synset, if we do then the first three lines are:
``
n01440764: tench, Tinca tinca
n01443537: goldfish, Carassius auratus
n01484850: great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias
``

https://gist.github.com/aaronpolhamus/964a4411c0906315deb9f4a3723aac57 has lines of type:
``
n02119789 1 kit_fox
n02100735 2 English_setter
n02110185 3 Siberian_husky
``
therefore numbered on the exact same order as https://image-net.org/challenges/LSVRC/2012/browse-synsets.php

https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a lists all 1k labels as a plaintext file with their benchmark IDs.
``
{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
``
therefore numbered on sorted order of https://image-net.org/challenges/LSVRC/2012/browse-synsets.php

The official line numbering in-benchmark-data can be seen at `LOC_synset_mapping.txt`, e.g. https://www.kaggle.com/competitions/imagenet-object-localization-challenge/data?select=LOC_synset_mapping.txt
``
n01440764 tench, Tinca tinca
n01443537 goldfish, Carassius auratus
n01484850 great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias
``

https://huggingface.co/datasets/imagenet-1k also has some useful metrics on the split:
* train: 1,281,167 images, 145.7 GB zipped
* validation: 50,000 images, 6.67 GB zipped
* test: 100,000 images, 13.5 GB zipped


Imagenet large scale visual recognition challenge dataset

ID: imagenet-large-scale-visual-recognition-challenge-dataset