ImageNet Large Scale Visual Recognition Challenge dataset

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ImageNet Large Scale Visual Recognition Challenge dataset by Ciro Santilli 34 Updated 2024-11-15 Created 1970-01-01
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:
  • 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
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