datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dronescapes2_annotated_train_set
Dataset Card for DroneScapes2 (annotated train set)
This is a FiftyOne dataset with 218 samples. It's a subset of this split from the original repo.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/dronescapes2_annotated_train_set.spacr-example-annotate
spaCR — Annotate and Classify example data
Example input for the Annotate and Classify modules of
spaCR. It is the output of a Measure
run, so both modules can be exercised without segmenting or measuring anything
first.
What is here
Path
What it is
data/
2,341 single-cell PNG crops, foldered by phenotype
measurements.db
The measurements, plus png_list and the annotation tables
measurements/active_learning/
The model card from the first annotation… See the full description on the dataset page: https://huggingface.co/datasets/einarolafsson/spacr-example-annotate.Deepface_Annotated_3K
Deepface Annotated 3K Dataset
Deepface_Annotated_3K is a synthetic facial image dataset containing 3K AI-generated faces from StyleGAN2.Each image is automatically annotated with demographic attributes like:
Age (in years)
Gender (with prediction confidence)
Dominant Race (White, Asian, Latino Hispanic, Indian, etc.)
The dataset is designed for research on fairness, bias detection, demographic classification, and synthetic face representation.
Structure information… See the full description on the dataset page: https://huggingface.co/datasets/Subh775/Deepface_Annotated_3K.512x384-litter-sort-annotated-wastes
(512x384) Litter Sort Annotated Wastes
It contains 2,527 annotated photographs of everyday waste, split into six material classes: Cardboard (403), Glass (501), Metal (410), Paper (594), Plastic (482) and miscellaneous Trash (137). Images were gathered from varied lighting conditions, backgrounds and device cameras to reflect realistic disposal scenes. Each file is placed in a folder named after its class, making the collection ready for direct ingestion into image-classification… See the full description on the dataset page: https://huggingface.co/datasets/mnemoraorg/512x384-litter-sort-annotated-wastes.open-images-v7-mini
AnnotateIt · Open the app · Models & datasets · Documentation
AnnotateIt Open Images V7 Mini Collection
Eight small, real-world, AnnotateIt-compatible datasets curated from the Open Images V7 validation split. Each archive contains 50–200 images, production-exported annotations, source details, and per-image attribution.
Only images whose official Open Images metadata lists CC BY 2.0 are included. Open Images annotations are CC BY 4.0. Open Images recommends independently… See the full description on the dataset page: https://huggingface.co/datasets/AnnotateIt/open-images-v7-mini.256x256-litter-sort-annotated-wastes
(256x256) Litter Sort Annotated Wastes
It delivers 14 268 pre-curated photographs of common waste, evenly split across six material classes: Plastic (2 387), Metal (2 421), Glass (2 398), Cardboard (2 352), Paper (2 403) and Trash (2 307). All images were resized to 256 × 256 px in RGB, duplicates removed and quality-filtered through an ensemble pipeline to ensure balance and clarity. Organized in class-named folders, the set is ready for immediate ingestion into… See the full description on the dataset page: https://huggingface.co/datasets/mnemoraorg/256x256-litter-sort-annotated-wastes.yolo-annotated-image-obj-detectionbeans-mini
AnnotateIt · Open the app · Models & datasets · Documentation
AnnotateIt Beans Mini
Small, deterministic, AnnotateIt-compatible samples derived from Beans.
Upstream revision: 27aa014ce09b193e1a6f58112d4a66e0eddb69c5Upstream license: MIT
File
Sample
Tasks
Format
Images
Size
SHA-256
Derived task
beans-classification-mini.zip
Beans Classification Mini
Classification
Datumaro
45
5.84 MiB
5dc1b75552f96b67d6843ca7cb24cc7b431e3789b63158df4786b4ab8bcc0637
no… See the full description on the dataset page: https://huggingface.co/datasets/AnnotateIt/beans-mini.fashion-mnist-mini
AnnotateIt · Open the app · Models & datasets · Documentation
AnnotateIt Fashion-MNIST Mini
Small, deterministic, AnnotateIt-compatible samples derived from Fashion-MNIST.
Upstream revision: b2617bb6d3ffa2e429640350f613e3291e10b141Upstream license: MIT
File
Sample
Tasks
Format
Images
Size
SHA-256
Derived task
fashion-mnist-object-detection-mini.zip
Fashion-MNIST Detection Mini
Detection
COCO
80
0.08 MiB… See the full description on the dataset page: https://huggingface.co/datasets/AnnotateIt/fashion-mnist-mini.eurosat-mini
AnnotateIt · Open the app · Models & datasets · Documentation
AnnotateIt EuroSAT RGB Mini
Small, deterministic, AnnotateIt-compatible samples derived from EuroSAT RGB.
Upstream revision: Zenodo record 7711810, v2Upstream license: MIT
Additional source terms: Copernicus Sentinel Data Legal Notice. The required source acknowledgement is included in every ZIP.
File
Sample
Tasks
Format
Images
Size
SHA-256
Derived task
eurosat-rgb-classification-mini.zip
EuroSAT RGB… See the full description on the dataset page: https://huggingface.co/datasets/AnnotateIt/eurosat-mini.flickr8k-sau-pace-annotated
Annotation
Annotated this dataset by clasifying the images into slow, medium or fast depending on the suitable paced background music.