datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ham10000_bbox
HAM10000 with Spatial Annotations and Bounding Box Coordinates
Enhanced version of HAM10000 dataset with bounding box coordinates and spatial descriptions for skin lesion localization.
Dataset Description
This dataset extends the original HAM10000 dermatology dataset with:
Bounding box coordinates for lesion localization
Spatial descriptions (e.g., "located in center-center region")
Area coverage statistics
Mask availability flags
Features
image: RGB skin… See the full description on the dataset page: https://huggingface.co/datasets/abaryan/ham10000_bbox.disaster-damage-assessment
Disaster Damage Assessment Dataset
Binary damage classification dataset (damage vs. no damage) across 4 natural disaster domains, used in:
Unsupervised Domain Adaptation for Rapid Disaster Damage Assessment
Dataset Structure
Domain
Code
Event
Images
Ecuador Earthquake
E
2016
1,724
Nepal Earthquake
N
2015
19,104
Hurricane Matthew
M
2016
333
Typhoon Ruby
R
2014
833
Total: 21,994 images across 4 domains.
Columns:
image: PIL Image
label: 0 =… See the full description on the dataset page: https://huggingface.co/datasets/abalhomaid/disaster-damage-assessment.rvl_cdipThe RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images.