datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Icarus-dataset
Icarus
A unified multi-modal curriculum dataset for evolutionary neural architecture search. Every row is one self-contained Task = {meta, support, query}, where support and query are lists of (input_Field, output_Field) pairs. The inner loop trains on support; fitness is scored on query. Support is non-empty for every task. Encoders read the Field descriptor (axes, value_type, n_classes, value_range, mask); mask is True where a value is padding/ignored. meta.class_names, when… See the full description on the dataset page: https://huggingface.co/datasets/Ardea/Icarus-dataset.Nurisk-ICRA2026
Nurisk: VQA for Risk Assessment in Autonomous Driving
Nurisk is a visual question answering dataset focusing on risk assessment for autonomous driving. Each row contains:
image: a BEV image
question: a driving-related question
answer: the ground truth answer
Paper
NuRisk: A Visual Question Answering Dataset for Agent-Level Risk Assessment in Autonomous Driving — see the paper on arXiv:2509.25944 .
Framework
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/TUM-AVS/Nurisk-ICRA2026.icdar2021-historical-document-dating
ICDAR 2021 Historical Document Classification — Task 2 (Dating)
13,810 manuscript page images labelled with the period in which they were produced.
Images come from e-codices, the virtual manuscript library
of Switzerland.
Split
Images
Date range
Median span
Dated to a single year
train
11,294
800–1899
45 years
1,409
test
2,516
800–1921
49 years
264
The label is an interval, not a year
Palaeographers date a manuscript to a range, and the width of… See the full description on the dataset page: https://huggingface.co/datasets/biglam/icdar2021-historical-document-dating.NOAA-PIFSC-ESD-ESA-CORAL-ICRA-Dataset
Dataset Card for NOAA-PIFSC-ESD-ESA-CORAL-ICRA-Dataset
Dataset Details
Dataset Description
This dataset contains annotated benthic coral reef imagery of Isopora crateriformis (ICRA) coral species. The dataset is formatted for object detection tasks.
Bounding box annotations for ICRA coral colonies
Stratified train/validation/test splits for robust model evaluation
License: Public Domain (NOAA Open Data Public Access)
Dataset Composition:
Total… See the full description on the dataset page: https://huggingface.co/datasets/NMFS-OSI/NOAA-PIFSC-ESD-ESA-CORAL-ICRA-Dataset.brill_iconclass
Dataset Card for Brill Iconclass AI Test Set
Dataset Summary
A test dataset and challenge to apply machine learning to collections described with the Iconclass classification system.
This dataset contains 87749 images with Iconclass metadata assigned to the images. The iconclass metadata classification system is intended to provide 'the comprehensive classification system for the content of images.'.
Iconclass was developed in the Netherlands as a standard… See the full description on the dataset page: https://huggingface.co/datasets/biglam/brill_iconclass.iconclass-vlm-brillfull
Iconclass VLM — brill full labels
Training-ready VLM iconclass-classification dataset rebuilt from the fuller, cleaner
source labels in biglam/brill_iconclass
(CC0). Recovers labels lost to truncation in davanstrien/iconclass-vlm-sft.
Source images: same Brill Arkyves images as biglam/brill_iconclass, bytes passed through verbatim (no re-encode).
Labels: full Iconclass codes with operators (+n), key-combos :, and qualifiers (TEXT) kept intact. Empty/sentinel tokens stripped; ~5… See the full description on the dataset page: https://huggingface.co/datasets/davanstrien/iconclass-vlm-brillfull.ICPTC_pistachio_tree_variety_classification
ICPTC Pistachio Tree Variety Classification
A dataset for variety classification of pistachio trees. The dataset contains 526 images across 4 classes: J, L, R, S.Images per class:
J: 117
L: 129
R: 109
S: 171
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the split column.
Citation
@article{heidary2021icptc,
title={ICPTC: Iranian commercial pistachio tree… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/ICPTC_pistachio_tree_variety_classification.expertAB
Video Dataset - consensus-task01-video
Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
Dataset Structure
frames/ — extracted frames (first frame from each segment)
segments/ — video clips for each annotation interval
annotations/ — original JSON annotation
transcriptions/ — transcription files (full_transcription.txt + per segment)
dataset.csv… See the full description on the dataset page: https://huggingface.co/datasets/icomgpu/expertAB.iccwd
Image-Caption Children in the Wild Dataset
Instructions on how to download the dataset images are provided in the Github repository of our project: https://github.com/spring-epfl/iccwd/.
How to cite
If you find this dataset useful, please cite it as follows:
@article{kireev2025manually,
title={A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild},
author={Kireev, Klim and Cre{\c{t}}u, Ana-Maria and Meier, Raphael and Bargal, Sarah Adel… See the full description on the dataset page: https://huggingface.co/datasets/amcretu/iccwd.ICDAR2019_cTDaR_TRACKB_resized
Dataset Card for ICDAR2019-cTDaR-TRACKB
This dataset is a resized version of the original cndplab-founder/ICDAR2019_cTDaR, merged with with its supplement cndplab-founder/ICDAR2019_cTDaR_dataset_supplement.
You can easily and quickly load it:
dataset = load_dataset("dvgodoy/ICDAR2019_cTDaR_TRACKB_resized")
DatasetDict({
train: Dataset({
features: ['image', 'width', 'height', 'category', 'label', 'bboxes_table', 'bboxes_cell'],
num_rows: 1200
})
test:… See the full description on the dataset page: https://huggingface.co/datasets/dvgodoy/ICDAR2019_cTDaR_TRACKB_resized.ICDAR2019_cTDaR_TRACKA_resized
Dataset Card for ICDAR2019-cTDaR-TRACKA
This dataset is a resized version of the original cndplab-founder/ICDAR2019_cTDaR.
You can easily and quickly load it:
dataset = load_dataset("dvgodoy/ICDAR2019_cTDaR_TRACKA_resized")
DatasetDict({
train: Dataset({
features: ['image', 'width', 'height', 'category', 'label', 'bboxes'],
num_rows: 1200
})
test: Dataset({
features: ['image', 'width', 'height', 'category', 'label', 'bboxes'],
num_rows:… See the full description on the dataset page: https://huggingface.co/datasets/dvgodoy/ICDAR2019_cTDaR_TRACKA_resized.rccai
Video Dataset - consensus-task0001-video
Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
Dataset Structure
frames/ — extracted frames (first frame from each segment)
segments/ — video clips for each annotation interval
annotations/ — original JSON annotation
transcriptions/ — transcription files (full_transcription.txt + per segment)… See the full description on the dataset page: https://huggingface.co/datasets/icomgpu/rccai.ppi
Video Dataset - consensus-01
Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
Dataset Structure
frames/ — extracted frames (first frame from each segment)
segments/ — video clips for each annotation interval
annotations/ — original JSON annotation
transcriptions/ — transcription files (full_transcription.txt + per segment)
dataset.csv — mapping… See the full description on the dataset page: https://huggingface.co/datasets/icomgpu/ppi.ppi-chine-ccnu-01
Video Dataset - ccnu-01
Dataset Description
This dataset contains video frames extracted from annotated video segments, along with annotations, transcriptions, and corresponding video clips.
Dataset Structure
frames/ — extracted frames (first frame from each segment)
segments/ — video clips for each annotation interval
annotations/ — original JSON annotation
transcriptions/ — transcription files (full_transcription.txt + per segment)
dataset.csv — mapping… See the full description on the dataset page: https://huggingface.co/datasets/icomgpu/ppi-chine-ccnu-01.
