datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
camelyon16-features
Dataset Card for Camelyon16-features
Dataset Summary
The Camelyon16 dataset is a very popular benchmark dataset used in the field of cancer classification.
The dataset we've uploaded here is the result of features extracted from the Camelyon16 dataset using the Phikon model, which is also openly available on Hugging Face.
Dataset Creation
Initial Data Collection and Normalization
The initial collection of the Camelyon16 Whole Slide Images… See the full description on the dataset page: https://huggingface.co/datasets/owkin/camelyon16-features.Ransomware_PE_Header_Feature_Dataset
Dataset Card for Ransomware PE Header Feature Dataset
Dataset Description
Dataset Summary
This dataset contains PE header features (first 1024 bytes) from 2,157 Windows executable samples, comprising 1,134 legitimate software (goodware) and 1,023 ransomware samples across 25 ransomware families. Each sample is represented by numerical features extracted from the raw PE header.
Supported Tasks
Binary Classification: Distinguish between goodware and… See the full description on the dataset page: https://huggingface.co/datasets/cycloevan/Ransomware_PE_Header_Feature_Dataset.TTC-features
TTC features
Pre-extracted features for Efficient Test-time Adaptation through Candidate Verification and Divergence Shifts
(NeurIPS 2026). Paper · Code
Every config of the code reads its features from this tree:
Folder
Features
Config
zeroshot/<backbone>/<dataset>/
CLIP RN50 / ViT-B16, single view, 11 datasets
zeroshot
domain_gen/<backbone>/<dataset>/{0aug,10aug}/
CLIP RN50 / ViT-B16 on ImageNet-A, -R, -Sketch, -V2
domain_generalization with --data.aug 0 or 10… See the full description on the dataset page: https://huggingface.co/datasets/SoongE/TTC-features.NIH-CXR14-BiomedCLIP-Features
NIH-CXR14-BiomedCLIP-Features Dataset
This dataset is derived from the NIH Chest X-ray Dataset (NIH-CXR14) and processed using the BiomedCLIP-PubMedBERT_256-vit_base_patch16_224 model from Microsoft. It contains image and text features extracted from chest X-ray images and their corresponding textual findings.
Dataset Description
The original NIH-CXR14 dataset comprises 112,120 chest X-ray images with disease labels from 30,805 unique patients. This processed dataset… See the full description on the dataset page: https://huggingface.co/datasets/Yasintuncer/NIH-CXR14-BiomedCLIP-Features.faceemo-set-features
FaceEmo-Set Features (ViT Representations)
Dataset Illustration
Overview
This dataset provides feature representations extracted from multiple facial emotion recognition datasets using a Vision Transformer (ViT-Base/16) model.
Instead of releasing raw images, which cannot be redistributed because some source materials are subject to copyright restrictions, we provide:
High-level feature embeddings
Model outputs (logits and probabilities)… See the full description on the dataset page: https://huggingface.co/datasets/jihedjabnoun/faceemo-set-features.Mobile_Phone_Dataset_Smartphone_and_Feature_Phone
Mobile Phone Dataset — Smartphone and Feature Phone (Sample)
⚠️ This is a free sample subset for evaluation purposes only.The full dataset (3,000+ HD images) is available for commercial licensing.Contact: sales@datacluster.ai · datacluster.ai
Dataset Summary
This dataset is an extremely challenging collection of original mobile phone images, crowdsourced from over 1,000 urban and rural areas. Every image is manually reviewed and verified by computer vision… See the full description on the dataset page: https://huggingface.co/datasets/Dataclusterlabspvtltd/Mobile_Phone_Dataset_Smartphone_and_Feature_Phone.