datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OCT_And_Fundus_Glaucoma_Dataset
Data on OCT and Fundus Images
Dataset Description
This dataset is a copy of Data on OCT and Fundus Images which is shared with the license CC BY 4.0.
This dataset contains 50 samples under its train split. The dataset includes image data.
Splits
train: 50 samples
Data Fields
The dataset includes the following columns:
Image_Name: String data
Opt_1, Opt_2, Opt_3, and Opt_4: Struct/Dict data with two fields:
CDR: Float64 data
Glaucoma: String data… See the full description on the dataset page: https://huggingface.co/datasets/ekacare/OCT_And_Fundus_Glaucoma_Dataset.instagram-fashion-prompts-v1
Instagram Fashion Prompts v1
Instagram Fashion Prompts v1 is a small, high–quality image dataset built for training and testing fashion and lifestyle models for social media content.
This first version contains:
15 high–resolution images (portrait & full–body)
1 digital muse / model
Multiple locations: city streets at night, Paris rooftops, beaches, desert, rooftops, luxury interiors
Outfits: elegant evening gowns, latex dresses, floral dresses, bikinis, sporty outfits and… See the full description on the dataset page: https://huggingface.co/datasets/Octavian-labs/instagram-fashion-prompts-v1.OctantFake
OctantFake
OctantFake is an English image-text benchmark for eight-way multimodal disinformation
classification. It accompanies the WWW'26 short paper “An 8-Way Taxonomy for Multimodal
Disinformation and Detection Benchmark.”
Each sample is labeled on three ordered binary axes: image veracity, text veracity, and image-text
consistency. Their Cartesian product yields TTT, TTF, TFT, TFF, FTT, FTF, FFT, and
FFF.
Dataset summary
Property
Value
Total samples… See the full description on the dataset page: https://huggingface.co/datasets/Syokan/OctantFake.