datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cats_vs_dogs
Dataset Card for Cats Vs. Dogs
Dataset Summary
A large set of images of cats and dogs. There are 1738 corrupted images that are dropped. This dataset is part of a now-closed Kaggle competition and represents a subset of the so-called Asirra dataset.
From the competition page:
The Asirra data set
Web services are often protected with a challenge that's supposed to be easy for people to solve, but difficult for computers. Such a challenge is often called a CAPTCHA… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/cats_vs_dogs.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.phytoplankton-microscopy
Bloombio Phytoplankton Microscopy Dataset
The Bloombio Phytoplankton Microscopy Dataset is a curated, citable marine science dataset consisting of 43 phytoplankton species across 10,433 high-resolution light microscopy images with bounding box annotations.
Developed as part of the Bloombio Marine Intelligence Platform — a platform that equips scientists with an autonomous AI agent, compressing sampling setup, multi-modal species identification, and environmental risk assessment… See the full description on the dataset page: https://huggingface.co/datasets/bloombio/phytoplankton-microscopy.Micro_Facial_ExpressionsMicro Facial Expressions Dataset
Dataset ID: LaurenGurgiolo/Micro_Facial_Expressions
Task: Facial Emotion Recognition
License: Refer to source datasets
Languages: N/A
Domain: Computer Vision, Affective Computing
Dataset Description
The Micro Facial Expressions dataset is a combined facial emotion recognition dataset composed of two sources:
FER-2013 – a large-scale grayscale facial expression dataset
Micro-Expression Image Dataset – a curated collection of color facial images representing… See the full description on the dataset page: https://huggingface.co/datasets/LaurenGurgiolo/Micro_Facial_Expressions.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.microcolony-domain-adaptationMicrocolony Domain Adaptation (Foodborne Bacteria) is a microscopy image dataset for foodborne bacterial classification under varying imaging conditions. It was created to support research in adversarial domain adaptation, enabling models trained on standard phase contrast microscopy images to generalize across different optical configurations and biological conditions.
This dataset accompanies the publication: Bhattacharya, S., Wasit, A., Earles, M., Nitin, N., & Yi, J. (2025). Enhancing AI… See the full description on the dataset page: https://huggingface.co/datasets/food-ai-nexus/microcolony-domain-adaptation.microCube-Duke-Breast-MRI
microCube (Bio-Lattice) Tensors: Duke Breast Cancer MRI
This repository contains precomputed microCube / Bio-Lattice tensors derived from the Duke Breast Cancer MRI cohort. The goal is to provide compact, training-ready MRI representations without requiring downstream users to download or process the original DICOM volumes.
These files are intended for research and method-development use only. They are not intended for clinical diagnosis or treatment decisions.… See the full description on the dataset page: https://huggingface.co/datasets/msancheza/microCube-Duke-Breast-MRI.Parasitic_Egg_Detection_and_Classification_in_Microscopic_Images
ICIP 2022 Challenge: Parasitic Egg Detection and Classification
Parasitic infections have been recognised as one of the most significant causes of illnesses by WHO. Most infected persons shed cysts or eggs in their living environment, and unwittingly cause transmission of parasites to other individuals.
Diagnosis of intestinal parasites is usually based on direct examination in the laboratory, of which capacity is obviously limited. Targeting to automate routine faecal examination… See the full description on the dataset page: https://huggingface.co/datasets/pui-nantheera/Parasitic_Egg_Detection_and_Classification_in_Microscopic_Images.Micro_Facial_ExpressionsMicro Facial Expressions Dataset
Dataset ID: LaurenGurgiolo/Micro_Facial_Expressions
Task: Facial Emotion Recognition
License: Refer to source datasets
Languages: N/A
Domain: Computer Vision, Affective Computing
Dataset Description
The Micro Facial Expressions dataset is a combined facial emotion recognition dataset composed of two sources:
FER-2013 – a large-scale grayscale facial expression dataset
Micro-Expression Image Dataset – a curated collection of color facial images representing… See the full description on the dataset page: https://huggingface.co/datasets/thesomdeep/Micro_Facial_Expressions.Blood-Sample-Microscopic-Image-Classification-Dataset
Blood Sample Microscopic Image Classification Dataset
Current scientific research in medical testing relies on manual analysis by experts, which is time-consuming and prone to human error. Existing automated analysis systems lack precision when processing different types of blood samples. This dataset aims to establish an efficient deep learning model to enhance the classification and detection of different types of blood cells under the microscope, meeting the needs of rapid… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Blood-Sample-Microscopic-Image-Classification-Dataset.Parasitic_Egg_Detection_and_Classification_in_Microscopic_Images
ICIP 2022 Challenge: Parasitic Egg Detection and Classification
Parasitic infections have been recognised as one of the most significant causes of illnesses by WHO. Most infected persons shed cysts or eggs in their living environment, and unwittingly cause transmission of parasites to other individuals.
Diagnosis of intestinal parasites is usually based on direct examination in the laboratory, of which capacity is obviously limited. Targeting to automate routine faecal examination… See the full description on the dataset page: https://huggingface.co/datasets/NicoleAvril/Parasitic_Egg_Detection_and_Classification_in_Microscopic_Images.Parasitic_Egg_Detection_and_Classification_in_Microscopic_Images
ICIP 2022 Challenge: Parasitic Egg Detection and Classification
Parasitic infections have been recognised as one of the most significant causes of illnesses by WHO. Most infected persons shed cysts or eggs in their living environment, and unwittingly cause transmission of parasites to other individuals.
Diagnosis of intestinal parasites is usually based on direct examination in the laboratory, of which capacity is obviously limited. Targeting to automate routine faecal… See the full description on the dataset page: https://huggingface.co/datasets/HISHAM-12/Parasitic_Egg_Detection_and_Classification_in_Microscopic_Images.synthpar2-micro
Dataset Card for Dataset Name
A minute fraction of the Synthpar Dataset used for development of FNR and FPR calculation functions for facial verification models.
Dataset Sources [optional]
https://huggingface.co/datasets/pravsels/synthpar
Uses
Created only for development purposes. Should not be used for actual benchmarking as there may be uneven distributions of males/females.
Dataset Structure
13 unique IDs for each Skin tone group, and 8… See the full description on the dataset page: https://huggingface.co/datasets/TajwarC/synthpar2-micro.microscopy-datasets-index
Microscopy Datasets Index
I kept losing track of which microscopy datasets exist and what format they're in. So I made an index. 300+ open datasets, searchable by domain, task, microscopy type, and license.
What's in here
A single reference file (JSONL and Parquet) cataloging 309 publicly available microscopy datasets. Each entry includes:
id — short slug
name — human-readable dataset name
source — who published it (Broad Institute, Kaggle, ISBI, etc.)
url — direct link… See the full description on the dataset page: https://huggingface.co/datasets/Laborator/microscopy-datasets-index.