datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
autotrain-data-dog-classifiers
AutoTrain Dataset for project: dog-classifiers
Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project dog-classifiers.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<474x592 RGB PIL image>",
"target": 1
},
{
"image": "<474x296 RGB PIL image>",
"target": 1
}]
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/julien-c/autotrain-data-dog-classifiers.autotrain-data-stroke-classifier
AutoTrain Dataset for project: stroke-classifier
Dataset Description
This dataset has been automatically processed by AutoTrain for project stroke-classifier.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<233x197 L PIL image>",
"target": 0
},
{
"image": "<233x197 L PIL image>",
"target": 0
}]
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/Neurogpt/autotrain-data-stroke-classifier.tibetan-page-orientation-classifier-dataset
Tibetan Page Orientation Dataset
Covers 7 Tibetan script families: Danyig, Druma, Gyuyig, Multi-Scripts, Pedri, Tsugdri, Uchen.
Dataset composition
Each manuscript page appears twice: once as the original scan (non_flipped) and once rotated 180° (flipped). The model's task is to distinguish these two orientations.
Scripts are balanced — each of the 7 script families contributes the same number of pages (downsampled to the smallest family).
Script (script)… See the full description on the dataset page: https://huggingface.co/datasets/BDRC/tibetan-page-orientation-classifier-dataset.NES-plankton-IFCB-classifier-2022-dataset
NES Plankton IFCB Classifier 2022 Training Data
Image classification dataset of plankton species imaged by Imaging FlowCytobot
(IFCB) on the Northeast US Shelf. Used to train the NES Plankton IFCB Classifier 2022.
Dataset Summary
155 classes of plankton and non-plankton ROIs (including detritus, bubbles, fibers, etc.)
97,026 labeled images across train and validation splits
Images are grayscale PNGs extracted from IFCB sample files
Annotations are human-verified… See the full description on the dataset page: https://huggingface.co/datasets/sosiklab/NES-plankton-IFCB-classifier-2022-dataset.danyig-pedri-binary-script-classifier
Danyig vs Pedri Binary Script Classification Dataset
Stage-2 binary classifier for distinguishing Danyig (5 subscripts: DraDring, DraRing, Drathung, Gongshabma, Tsegdrig) from Pedri (2 subscripts: Peri, Petsuk). Real-only, all images human-reviewed.
Images per class
Class
train
val
test
All
Danyig
480
60
60
600
Pedri
480
60
60
600
Total
960
120
120
1,200
Splits
Manuscript-stratified split — each manuscript work appears in exactly… See the full description on the dataset page: https://huggingface.co/datasets/BDRC/danyig-pedri-binary-script-classifier.Gender-Classifier-7K
Gender-Classifier-7K
Gender-Classifier-7K is a dataset designed for image classification, focusing on distinguishing between female and male individuals. This dataset includes a diverse collection of high-quality images to improve classification accuracy and enhance the model’s overall performance. By offering a well-balanced dataset, it aims to support the development of reliable and fair gender classification models.
Label Mappings
Mapping of IDs to Labels: {0:… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Gender-Classifier-7K.food-classifier-dataset
Food classifier dataset
Class counts:
.cache: 0 images
healthy: 4525 images
not_food: 1854 images
waste-classifier
Dataset Card for waste classifier
This dataset contains waste images in different categories:
cardboard
compost
glass
metal
paper
plastic
trash
Dataset Sources
Data is a combination of Trashnet dataset plus more images obtained by internet search.
Paper: Classification of Trash for Recyclability Status
Uses
The dataset can be used for waste classification or other type of project.
Direct Use
This dataset is used to build a waste classifier for… See the full description on the dataset page: https://huggingface.co/datasets/rootstrap-org/waste-classifier.siglip-doc-understanding-classifier
SigLIP Doc Understanding — Unanswerable Question Detection Dataset
A mixed answerable / unanswerable benchmark dataset built from DocVQA and MP-DocVQA, used to
train and evaluate the siglip-doc-understanding-classifier
unanswerable-question detector.
Each row pairs a document image with a question. Half of the questions are the original,
answerable DocVQA/MP-DocVQA questions; the other half are corrupted versions of those same
questions — modified so the document image no longer… See the full description on the dataset page: https://huggingface.co/datasets/giacolees/siglip-doc-understanding-classifier.amazonian_fish_classifier_dataTODOautotrain-data-square-count-classifier
AutoTrain Dataset for project: square-count-classifier
Dataset Description
This dataset has been automatically processed by AutoTrain for project square-count-classifier.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<28x28 L PIL image>",
"target": 0
},
{
"image": "<28x28 L PIL image>",
"target": 0
}
]… See the full description on the dataset page: https://huggingface.co/datasets/dhavala/autotrain-data-square-count-classifier.Gender-Classifier-7K
Gender-Classifier-7K
Gender-Classifier-7K is a dataset designed for image classification, focusing on distinguishing between female and male individuals. This dataset includes a diverse collection of high-quality images to improve classification accuracy and enhance the model’s overall performance. By offering a well-balanced dataset, it aims to support the development of reliable and fair gender classification models.
Label Mappings
Mapping of IDs to Labels: {0:… See the full description on the dataset page: https://huggingface.co/datasets/Beanalytic-ML/Gender-Classifier-7K.hinged-state-classifier-crops
hinged-state-classifier-crops
Binary image classification dataset for open vs. closed state recognition of hinged surgical instruments.
Overview
This dataset contains cropped images of three hinged surgical tool categories:
CM = clamp
NH = needle holder
SH = shear
The target classes are:
open
closed
It is intended for training and evaluating hinge-state classifiers in a two-stage surgical tool recognition pipeline, where an instrument is first detected and then… See the full description on the dataset page: https://huggingface.co/datasets/joonhaim/hinged-state-classifier-crops.glyphs_classifier_data