Ciro Santilli @cirosantilli  40

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LeNet implementation Updated 2025-07-16

How can I be as great by Justine Musk Updated 2025-07-16

www.quora.com/How-can-I-be-as-great-as-Bill-Gates-Steve-Jobs-Elon-Musk-or-Sir-Richard-Branson/answer/Justine-Musk is a fantastic ansewr by Justine Musk, Elon Musk's ex-fife, to the question:

How can I be as great as Bill Gates, Steve Jobs, Elon Musk or Sir Richard Branson?

One of her key thesis is Many successful people are neurodiverse:

These people tend to be freaks and misfits who were forced to experience the world in an unusually challenging way. They developed strategies to survive, and as they grow older they find ways to apply these strategies to other things, and create for themselves a distinct and powerful advantage. They don't think the way other people think. They see things from angles that unlock new ideas and insights. Other people consider them to be somewhat insane.

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TinyMCE Updated 2025-07-16

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JavaScript physics engine Updated 2025-07-16

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JavaScript game engine Updated 2025-07-16

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Classic RISC pipeline Updated 2025-07-16

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Hazard (computer architecture) Updated 2025-07-16

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ImageNet Large Scale Visual Recognition Challenge dataset Updated 2025-07-16

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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: