datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
artelingo-dummyArtELingo is a benchmark and dataset introduced in a research paper aimed at promoting work on diversity across languages and cultures. It is an extension of ArtEmis, which is a collection of 80,000 artworks from WikiArt with 450,000 emotion labels and English-only captions. ArtELingo expands this dataset by adding 790,000 annotations in Arabic and Chinese. The purpose of these additional annotations is to evaluate the performance of "cultural-transfer" in AI systems.
The dataset in ArtELingo… See the full description on the dataset page: https://huggingface.co/datasets/youssef101/artelingo-dummy.mb-atmospheric_dust_cls_rdr
mb-atmospheric_dust_cls_rdr_upd
A Mars image classification dataset for planetary science research.
Dataset Metadata
License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
Version: 1.0
Date Published: 2025-05-22
Cite As: TBD
Classes
This dataset contains the following classes:
0: dusty
1: not_dusty
Statistics
train: 9817 images
test: 5214 images
val: 4969 images
few_shot_train_2_shot: 4 images
few_shot_train_1_shot: 2 images… See the full description on the dataset page: https://huggingface.co/datasets/Mirali33/mb-atmospheric_dust_cls_rdr.DuskfallcrewPhotography
Dataset Card for Dataset Name
Dataset Summary
A mixture of photography and other goods from Dusfkallcrew that has been either curated or taken by duskfall crew. Some may or may not be AI generated.
This template was generated using this raw template.
Languages
English mainly, but that's because the data is largely of New Zealand.
Source Data
Personal and Sensitive Information
No personal data has been included in this… See the full description on the dataset page: https://huggingface.co/datasets/xFutureTechx/DuskfallcrewPhotography.Mars-Analog-Dunes-10
Mars-Analog-Dunes-10 Dataset
Dataset Description
Mars-Analog-Dunes-10 is a curated remote sensing dataset designed for Earth-Mars Comparative Planetology. It contains high-quality satellite imagery of Earth's sand dunes that serve as morphological analogs to features found on Mars.
Key Features
Mars Analog Focus: Selected from Earth regions (e.g., deserts in China, Africa) known for their similarity to Martian geomorphology.
10 Fine-Grained Classes:… See the full description on the dataset page: https://huggingface.co/datasets/Keiyoo/Mars-Analog-Dunes-10.dubai-taxi-advertising-synthetic
Dubai Taxi Advertising Compliance (Synthetic)
63 synthetic photorealistic images of Dubai RTA taxis carrying advertising, built
to evaluate whether vision-language models can judge out-of-home (OOH)
advertising compliance rules from a single photograph.
Each image is generated to be an unambiguous pass or fail against one
specific rule from a Dubai taxi advertising technical checklist. The dataset is
an evaluation set — it is small, adversarially balanced, and deliberately… See the full description on the dataset page: https://huggingface.co/datasets/AbdullahKhanSherwani/dubai-taxi-advertising-synthetic.spl-raw-datayolo-rubber-ducks
Rubber Duck Detection Dataset
Overview
This dataset contains 192 annotated images of rubber ducks, specifically curated for object detection tasks. It was used for experimentation related to the YOLOv8n Rubber Duck Detector model.
NOTE: I DO NOT RECOMMEND USING THIS DATASET AT THIS TIME. There is an open and ongoing discussion around the use of the datasets that were combined for this.See related licensing discussion on the forum
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/phrogzx/yolo-rubber-ducks.dual-gelsight-marker-20260617
Dual GelSight Marker-Mask Dataset 20260617
This dataset contains synchronized marker-mask tactile captures from two GelSight-style sensors:
gelsight_mini: GelSight Mini camera stream
gelsight: custom UVC GelSight-style camera stream
Only marker-mask images are included. Raw RGB camera frames were intentionally omitted from this Hub upload.
Directory Layout
marker/<sensor>/<indenter>/<frame_id>.jpg
Sensors
marker/gelsight_mini: 3280x2464… See the full description on the dataset page: https://huggingface.co/datasets/LancetRobotics/dual-gelsight-marker-20260617.durian_disease_classification
Durian Disease Classification
A dataset for disease classification of durian. The dataset contains 5,451 images across 10 classes: anthracnose_disease, canker_disease, fruit_rot, mealybug_infestation, pink_disease, sooty_mold, stem_blight, stem_cracking_ gummosis, thrips_disease, yellow_leaf.
Images per class:
anthracnose_disease: 549
canker_disease: 557
fruit_rot: 528
mealybug_infestation: 536
pink_disease: 549
sooty_mold: 541
stem_blight: 554
stem_cracking_ gummosis: 560… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/durian_disease_classification.DUALDISCO-perception
Roles
Roles: perception view of DUALDISCO — annot is the source label (conduction / keyhole), kept machine-parseable as the gold for verification and reward parsing; the model reads query + image, where the repo ships microphone sound from a dual-laser powder-bed fusion build in four image encodings as four equal-sized configs — reshaped (consecutive samples arranged as the rows of a grayscale square), scalogram (a continuous-wavelet time-scale view), spectrogram (a short-time… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/DUALDISCO-perception.DUALDISCO
Roles
Roles: canon repo — annot is the source label, kept machine-parseable as the gold for verification and reward parsing; there is no filled reasoning column and this repo is not itself a training view. Derived repos each state their own regime on their own card.
DUAL DISCO — is any laser in keyhole mode, from the sound in the air (reasoning track)
Part of the AI4Manufacturing FORGE corpus (Category C, task T-C1), and the corpus's first airborne-acoustic and… See the full description on the dataset page: https://huggingface.co/datasets/AI4Manufacturing/DUALDISCO.mb-atmospheric_dust_cls_edr
mb-atmospheric_dust_cls_edr
A Mars image classification dataset for planetary science research.
Dataset Metadata
License: CC-BY-4.0 (Creative Commons Attribution 4.0 International)
Version: 1.0
Date Published: 2025-05-15
Cite As: TBD
Classes
This dataset contains the following classes:
0: dusty
1: not_dusty
Statistics
train: 9817 images
test: 5214 images
val: 4969 images
few_shot_train_2_shot: 4 images
few_shot_train_1_shot: 2 images… See the full description on the dataset page: https://huggingface.co/datasets/Mirali33/mb-atmospheric_dust_cls_edr.dustbin-or-not-dataset
Dustbin vs. Not Dustbin Image Dataset
Dataset Summary
A small binary image classification dataset for predicting whether an image contains a dustbin/trash can.
has_dustbin = 1: dustbin visible
has_dustbin = 0: no dustbin visible
30+ original photographs
Images resized to 224 × 224 RGB
Data Collection
Original photographs were captured by the author and organized into dustbin/ and not_dustbin/ folders. No people, faces, or sensitive personal… See the full description on the dataset page: https://huggingface.co/datasets/srivathsanb14/dustbin-or-not-dataset.hent
Dataset Card for "hent"
More Information needed
hyperspectral-fruit
Living Optics Hyperspectral Fruit Dataset
Overview
This dataset contains 100 images of various fruits and vegetables captured under controlled lighting, with the Living Optics Camera.
The data consists of RGB images, sparse spectral samples and instance segmentation masks.
From the 100 images, we extract >430,000 spectral samples, of which >85,000 belong to one of the 19 classes in the dataset. The rest of the spectra can be used for negative sampling when… See the full description on the dataset page: https://huggingface.co/datasets/duc08042006/hyperspectral-fruit.dermacheck-temporal-pairs
DermaCheck Temporal Pairs Dataset
Dataset Description
Synthetic temporal image pairs for training MedGemma to detect changes in dermatoscopic images over time.
Created for: MedGemma Impact Challenge 2026 - Novel Task Prize (temporal change detection)
Dataset Statistics
Total pairs: 900
Train: 630 pairs (70.0%)
Validation: 135 pairs (15.0%)
Test: 135 pairs (15.0%)
Generation Methods
Controlled Augmentation (~50%): Original HAM10000 images augmented… See the full description on the dataset page: https://huggingface.co/datasets/dunktra/dermacheck-temporal-pairs.durian_disease_classification_vietnam
Durian Disease Classification Vietnam
A dataset for image classification of Durian Disease. The dataset contains 2,595 images across 6 classes: Leaf_Algal, Leaf_Blight, Leaf_Colletotrichum, Leaf_Healthy, Leaf_Phomopsis, Leaf_Rhizoctonia.
Images per class:
Leaf_Algal: 462
Leaf_Blight: 440
Leaf_Colletotrichum: 400
Leaf_Healthy: 484
Leaf_Phomopsis: 411
Leaf_Rhizoctonia: 398
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/durian_disease_classification_vietnam.mnist
Dataset Card for MNIST
Dataset Summary
The MNIST dataset consists of 70,000 28x28 black-and-white images of handwritten digits extracted from two NIST databases. There are 60,000 images in the training dataset and 10,000 images in the validation dataset, one class per digit so a total of 10 classes, with 7,000 images (6,000 train images and 1,000 test images) per class.
Half of the image were drawn by Census Bureau employees and the other half by high school students… See the full description on the dataset page: https://huggingface.co/datasets/dustrn78/mnist.sonic-forage-strawberry-logo-dude-22
Sonic Forage Strawberry Logo Dude 22
A 22-image public-safe generated reference dataset for Sonic Forage, positioned as the World’s first autonomous DJ operating system.
Each sample depicts a strawberry AGI DJ mascot / logo dude with a friendly third eye, headphones, decks, and different renegade-set environments. The generation prompts required: no text, no words, no letters, no logos, no watermark, no drug-use depiction, no alcohol, no weapons, and no real-person likeness.… See the full description on the dataset page: https://huggingface.co/datasets/Sonic-Forage/sonic-forage-strawberry-logo-dude-22.Duplicated_plant_species_status
Dataset Card for "plant_species"
More Information needed
detect_solar_dustdummydataset