datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fundus-10class-augmented
Fundus 10-Class Augmented Dataset
Augmented and split-curated version of the Mendeley fundus
dataset, used in
the Master's thesis "Classification of Fundus Lesion Images Using
Deep Learning Models" (Xidian University, 2026).
Models trained on this dataset: DoB24/fundus-9model-benchmark.
Summary
10 disease classes (see table below).
5,335 original images; 16,242 augmented images (rotation, flip, brightness/contrast jitter, Gaussian blur).
Group-aware test split… See the full description on the dataset page: https://huggingface.co/datasets/DoB24/fundus-10class-augmented.grape-leaf-disease-augmented-dataset
🍇🍃 Grape Leaf Disease Augmented Dataset`
Information
This dataset consists of 18,054 grape leaf images across 4 class (ESCA, Leaf Blight, Black Rot, Healthy) for use in image classification tasks.
Dataset has been created as a modification to the original dataset from the PlantVillage dataset: https://www.kaggle.com/datasets/abdallahalidev/plantvillage-dataset
The images have been used from this dataset:… See the full description on the dataset page: https://huggingface.co/datasets/adamkatchee/grape-leaf-disease-augmented-dataset.augmented_lebanese_set
augmented_lebanese_set
Split: train with 12400 rows.
Schema
image_url (string)
camera_or_phone_prob (float)
food_prob (float)
dish_name (string)
food_type (string)
ingredients (string)
portion_size (string)
cooking_method (string)
Note: image_url should point to reachable image locations (http(s) or hf:// paths).
Augmented_alzheimermnist_augmented
Dataset Card for mnist_augmented
This dataset contains augmented versions of the MNIST dataset, created to benchmark how various augmentation strategies impact digit classification accuracy using deep learning models.
The dataset is provided as a .zip file and must be unzipped before use. It follows the ImageFolder structure compatible with PyTorch and other DL frameworks.
📥 Download & Extract
wget… See the full description on the dataset page: https://huggingface.co/datasets/ianisdev/mnist_augmented.cifar10_augmented
Dataset Card for cifar10_augmented
This dataset contains augmented versions of CIFAR-10 to benchmark the impact of classical and synthetic augmentation techniques on deep image classification models.
Provided as a .zip file, the dataset must be unzipped before use. It follows a standard ImageFolder structure for compatibility with PyTorch and TensorFlow pipelines.
Dataset Details
Dataset Sources
Repository:… See the full description on the dataset page: https://huggingface.co/datasets/ianisdev/cifar10_augmented.