ImageNet subset

Subset generators:

github.com/mf1024/ImageNet-datasets-downloader generates on download, very good. As per github.com/mf1024/ImageNet-Datasets-Downloader/issues/14 counts go over the limit due to bad multithreading. Also unfortunately it does not start with a subset of 1k.
github.com/BenediktAlkin/ImageNetSubsetGenerator

Unfortunately, since ImageNet is a closed standard no one can upload such pre-made subsets, forcing everybody to download the full dataset, in ImageNet1k, which is huge!

Table of contents
- Imagenette ImageNet subset
- ImageNet Large Scale Visual Recognition Challenge dataset ImageNet subset

Imagenette (Imagenet10)

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github.com/fastai/imagenette

An imagenet10 subset by fast.ai.

Size of full sized image version: 1.5 GB.

ImageNet Large Scale Visual Recognition Challenge dataset (ILSVRC, ImageNet1k)

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Subset of ImageNet. About 167.62 GB in size according to 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: datascience.stackexchange.com/questions/47458/what-is-the-difference-between-imagenet-and-imagenet1k-how-to-download-it

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.

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

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 image-net.org/challenges/LSVRC/2012/browse-synsets.php

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 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. 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

huggingface.co/datasets/imagenet-1k also has some useful metrics on the split: