Datasetpublic

abaryan/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:… See the full description on the dataset page: https://huggingface.co/datasets/abaryan/ham10000_bbox.

sourceHugging Faceccupdated 1y agoView on Hugging Face

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Dataset Card

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 lesion images
—diagnosis: Skin condition diagnosis codes (mel, nv, bkl, etc.)
—bbox: [x1, y1, x2, y2] bounding box coordinates
—spatial_description: Natural language location descriptions
—area_coverage: Lesion area relative to image size
—localization: Body part location
—age/sex: Patient demographics

Usage

python

from datasets import load_dataset

dataset = load_dataset("abaryan/ham10000_bbox")
train_data = dataset["train"]

# Access image and annotations
sample = train_data[0]
image = sample["image"]
bbox = sample["bbox"]
description = sample["spatial_description"]

Citation

Based on original HAM10000 dataset. Enhanced with spatial annotations for vision-language model training. """