Update README with new image datasets

Added image datasets (MNIST, FashionMNIST, CIFAR10, CIFAR100, SVHN) to the README.
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Alejandro Moreo Fernandez 2026-08-21 11:32:27 +02:00 committed by GitHub
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@ -83,7 +83,8 @@ quantification methods based on structured output learning, HDy, QuaNet, quantif
* 11 Twitter quantification-by-sentiment datasets.
* 3 product reviews quantification-by-sentiment datasets.
* 4 tasks from LeQua 2022 competition and 4 tasks from LeQua 2024 competition
* IFCB for Plancton quantification
* IFCB for Plancton quantification
* Image datasets (MNIST, FashionMNIST, CIFAR10, CIFAR100, SVHN)
* Native support for binary and single-label multiclass quantification scenarios.
* Model selection functionality that minimizes quantification-oriented loss functions.
* Visualization tools for analysing the experimental results.