datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Lurcher_10x
Lurcher 10x Microscopy Dataset
Dataset overview
This dataset consists of 2-D microscopy images of histologically stained 3-D structures in tissue sections through the cerebellum of 21 mouse brains. Animals are grouped into wild-type controls (n = 10) and Lurcher mutant mice (n = 11). The classification task is to distinguish Lurcher mutant mice from wild-type controls.
All images were captured at low magnification (10x) and stained with Cresyl violet, a general… See the full description on the dataset page: https://huggingface.co/datasets/USF-CS-Microscopy-Image-Analysis/Lurcher_10x.malaria-microscopy-vqa
Malaria Microscopy Visual Question Answering (VQA) Dataset
Dataset Description
This dataset contains multi-choice visual question answering pairs for malaria microscopy images, focusing on parasite detection, classification, species identification, and severity assessment.
Dataset Summary
The Malaria Microscopy VQA Dataset is designed for training and evaluating AI systems on medical microscopy image analysis tasks. It contains 67 questions across 59 unique… See the full description on the dataset page: https://huggingface.co/datasets/EricPeter/malaria-microscopy-vqa.Single-cell_Microscopy_Images_for_Cancer_ClassificationThis datatset is a mirror to the dataset "Single-cell Microscopy Images for Cancer Classification" DOI: "xxxxxxx" in Mendeley Data, we will maintain both to upload new dataset in time and keep these two versions the same.
This is a dataset for single cell fluorescence microscopy images. The dataset includes cancer cells and normal cells. The images contain three channels: red (actin filament), green (vimentin filament), and blue (nucleus). We have 591 normal cells and 542 cancer cells. More… See the full description on the dataset page: https://huggingface.co/datasets/Jiabang/Single-cell_Microscopy_Images_for_Cancer_Classification.