datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
GroMo25
GroMo25: Multiview Time-Series Plant Image Dataset for Age Estimation and Leaf Counting
Dataset Summary
GroMo25 is a multiview, time-series plant image dataset designed for plant age estimation (in days) and leaf counting tasks in precision agriculture. It contains high-quality images of four crop species — Wheat, Okra, Radish, and Mustard — captured over multiple days under controlled conditions. Each plant is photographed from 24 angles across 5 vertical levels per day… See the full description on the dataset page: https://huggingface.co/datasets/MrigLabIITRopar/GroMo25.lgg-mri-segmentation-research
LGG Brain MRI Segmentation with Genomic Clusters
This repository provides a Patient-Centric version of the Lower-Grade Glioma (LGG) Segmentation dataset. While other versions of this data exist, they often treat slices as independent images. This version preserves the 3D patient volume and integrates all genomic/clinical labels directly into a multimodal-ready format.
🌟 Why This Version?
Developed for Multimodal AI Research, this dataset addresses several limitations… See the full description on the dataset page: https://huggingface.co/datasets/Ehsan-rmz/lgg-mri-segmentation-research.lgg-mri-segmentation-research
LGG Brain MRI Segmentation with Genomic Clusters
This repository provides a Patient-Centric version of the Lower-Grade Glioma (LGG) Segmentation dataset. While other versions of this data exist, they often treat slices as independent images. This version preserves the 3D patient volume and integrates all genomic/clinical labels directly into a multimodal-ready format.
🌟 Why This Version?
Developed for Multimodal AI Research, this dataset addresses several limitations… See the full description on the dataset page: https://huggingface.co/datasets/vpasx/lgg-mri-segmentation-research.africa-synth-aid-flows-brain-tumor-mri-colorized-ehr-all
Brain Tumor (MRI) Detection Colourized with EHR | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: not declared - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-aid-flows-brain-tumor-mri-colorized-ehr-all.brain-mri-plane-aware-vlm
Brain MRI Plane-Aware VLM Dataset
Dataset Description
This dataset is derived from the BRISC 2025 dataset and has been processed specifically for training Vision-Language Models (VLMs) with plane-aware understanding of brain MRI scans.
Source Dataset
Original dataset: BRISC 2025
The BRISC 2025 dataset contains:
6,000 T1-weighted MRI images
Four tumor classes: Glioma, Meningioma, Pituitary Tumor, and No Tumor
Pixel-wise segmentation masks validated by… See the full description on the dataset page: https://huggingface.co/datasets/AhmadIshaqai/brain-mri-plane-aware-vlm.MRI-Radiology-Reports-Without-Findings-Dataset
InfoBay.AI Healthcare Imaging Dataset Catalogue
Overview
The InfoBay.AI Healthcare Imaging Dataset Catalogue is one of the largest enterprise-scale collections of medical imaging and clinical healthcare records curated for Artificial Intelligence, Computer Vision, Medical Imaging Research, Large Multimodal Models (LMMs), Vision Language Models (VLMs), Diagnostic AI, and Healthcare Analytics.
The catalogue contains 112 Million+ medical files and images collected… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/MRI-Radiology-Reports-Without-Findings-Dataset.brain-mri-plane-aware
Brain MRI Plane-Aware VLM Dataset (Enhanced)
This is an enhanced version of the brain MRI dataset with natural language descriptions for training Vision-Language Models (VLMs).
Features
Natural language descriptions: Human-like, diverse captions for each MRI scan
Tumor types: Glioma, Meningioma, Pituitary tumors, and normal cases
MRI planes: Sagittal, Axial, and Coronal views
Sequence types: T1-weighted imaging
High diversity: 75-85% unique descriptions with varied… See the full description on the dataset page: https://huggingface.co/datasets/AhmadIshaqai/brain-mri-plane-aware.brain-tumor-single-slice-MRI-scan-with-synthetic-ehr-africa
Dataset Card: Africa Brain Tumor Scans with Synthetic EHR (Bundled Parquet)
This dataset bundles single-slice brain MRI scans and richly structured, synthetic EHR data into a single Parquet file suitable for multimodal ML research. Each row contains an image struct (bytes + path), a source label column, and an EHR payload with both a full JSON record and convenient summary columns.
The synthetic EHRs are Africa-focused: they encode country, urban/rural, facility level, insurance… See the full description on the dataset page: https://huggingface.co/datasets/saad02/brain-tumor-single-slice-MRI-scan-with-synthetic-ehr-africa.brain-mri-plane-aware-vlm
Brain MRI Plane-Aware VLM Dataset
Dataset Description
This dataset is derived from the BRISC 2025 dataset and has been processed specifically for training Vision-Language Models (VLMs) with plane-aware understanding of brain MRI scans.
Source Dataset
Original dataset: BRISC 2025
The BRISC 2025 dataset contains:
6,000 T1-weighted MRI images
Four tumor classes: Glioma, Meningioma, Pituitary Tumor, and No Tumor
Pixel-wise segmentation masks validated… See the full description on the dataset page: https://huggingface.co/datasets/zjj30/brain-mri-plane-aware-vlm.synthetic_brain_mriThis dataset was obtained as part of the Generative Modelling project from the Artificial Medical Intelligence Group -
AMIGO (https://amigos.ai/). It consists on of 1,000 synthetic T1w images sampled from generative models trained on
data originally from the UK Biobank dataset (https://www.ukbiobank.ac.uk/).