Ciro Santilli @cirosantilli 37

 Incoming links: Kaggle

ImageNet1k download  Updated 2025-05-29  +Created 1970-01-01

The official page: www.image-net.org/challenges/LSVRC/index.php points to a download link on Kaggle: www.kaggle.com/competitions/imagenet-object-localization-challenge/data Kaggle says that the size is 167.62 GB!

To download from Kaggle, create an API token on kaggle.com, which downloads a kaggle.json file then:

mkdir -p ~/.kaggle
mv ~/down/kaggle.json ~/.kaggle
python3 -m pip install kaggle
kaggle competitions download -c imagenet-object-localization-challenge

The download speed is wildly server/limited and take A LOT of hours. Also, the tool does not seem able to pick up where you stopped last time.

Another download location appears to be: huggingface.co/datasets/imagenet-1k on Hugging Face, but you have to login due to their license terms. Once you login you have a very basic data explorer available: huggingface.co/datasets/imagenet-1k/viewer/default/train.

Bibliography:

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Regression analysis  Updated 2025-05-29  +Created 2025-05-07

Regression analysis means to try and predict one final value from a bunch of input values.

For example, you might want to predict the most likely price of a house based on several factors such as its area, GPS coordinates and tax rate. Here is a Kaggle example of that: www.kaggle.com/c/house-prices-advanced-regression-techniques/data

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