datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fish-vista
Dataset Card for Fish-Visual Trait Analysis (Fish-Vista)
Note that the '</Use this dataset>' option will only load the CSV files. To download the entire dataset, including all processed images and segmentation annotations, refer to Instructions for downloading dataset and images.
See Example Code to Use the Segmentation Dataset
Figure 1. A schematic representation of the different tasks in Fish-Vista Dataset.
Instructions for downloading dataset… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/fish-vista.questFish2024
Dataset Card for QUEST Fish 2024
Images collected by teachers during a QUEST workshop. In 2024, the images were of fish collected from bodies of water near Princeton University.
Dataset Details
Dataset Structure
/dataset/
<folder>/
<img_id 1>.png
<img_id 2>.png
...
<img_id n>.png
...
<img_id 1>.png
<img_id 2>.png
...
<img_id n>.png
fieldData2024.csv
Data Instances… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/questFish2024.Heliconius-Collection_Cambridge-Butterfly
Dataset Card for Heliconius Collection (Cambridge Butterfly)
Dataset Description
Dataset Summary
Subset of the collection records from Chris Jiggins' research group at the University of Cambridge, collection covers nearly 20 years of field studies.
This subset contains approximately 36,189 RGB images of 11,962 specimens (29,134 images of 10,086 specimens across all Heliconius). Many records have both images and locality data.
Most images were… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/Heliconius-Collection_Cambridge-Butterfly.typhoon-intensity-classification
Typhoon - Image Classification Dataset
This dataset comes from PTIT AI Challenge and is organized for a multi-class image classification task focusing on tropical cyclone (typhoon) intensity estimation.
Dataset Structure
The directory structure is organized as follows:
train/
├── images/
│ ├── image1.jpg
│ └── ...
└── annotations.csv (only present in the train folder)
The public_test and private_test sets are used to evaluate and score the… See the full description on the dataset page: https://huggingface.co/datasets/star092304/typhoon-intensity-classification.ijb-a
IJB-A HF-ready
This repo packages the IARPA Janus Benchmark-A (IJB-A) face recognition dataset
in its CleanData layout, plus the official 10-split 1:1 verification and 1:N
identification protocols.
Unlike LFW-style benchmarks, IJB-A is template-based: each subject is
represented by a template aggregating multiple still images and/or video
frames. Protocol CSVs map every (template, file) row to a face annotation with
bounding box, landmarks, and demographic attributes.… See the full description on the dataset page: https://huggingface.co/datasets/marcelohaps/ijb-a.Crop-Disease-Image-Eval-Synthetic
Crop, Category, Disease and Pest Test Set
11,057 smallholder-farmer photographs sent to FarmerChat from Ethiopia, India, Kenya and Nigeria, each
labelled with the crop, whether the problem is a disease or a pest, and which one. This is the held-out
test split of a four-head classification benchmark, restricted to the rows whose labels came from an
independent model council rather than from the production vendor.
Why 11,057 and not 16,275
The full held-out split is… See the full description on the dataset page: https://huggingface.co/datasets/DigiGreen/Crop-Disease-Image-Eval-Synthetic.UK_Traffic_Sign_Inspection_Datasetjapanese-image-classification-evaluation-dataset
recruit-jp/japanese-image-classification-evaluation-dataset
Overview
Developed by: Recruit Co., Ltd.
Dataset type: Image Classification
Language(s): Japanese
LICENSE: CC-BY-4.0
More details are described in our tech blog post.
日本語CLIP学習済みモデルとその評価用データセットの公開
Dataset Details
This dataset is comprised of four image classification tasks related to concepts and things unique to Japan. Specifically, is consists of the following tasks.
jafood101: Image… See the full description on the dataset page: https://huggingface.co/datasets/recruit-jp/japanese-image-classification-evaluation-dataset.Latent-Resonance-AI-Image-Forensics-Benchmark-N1000
Latent Resonance: SOTA Large-Scale AI Image Forensics Benchmark (N=1,000)
Author: Debdip Bandyopadhyay (Independent AI Researcher, Kolkata, India; M.Tech, IIT Jodhpur, AI & Data Science)Preprint & Paper: Latent Resonance: Zero-Shot Autoencoder Inversion and Azimuthal Spectral Forensics for Diffusion Image Attribution (IEEE Flagship / CERN Zenodo 2026)
1. Executive Summary & Diagnostic Suite
This repository contains the complete empirical evaluation records… See the full description on the dataset page: https://huggingface.co/datasets/DebdipCS/Latent-Resonance-AI-Image-Forensics-Benchmark-N1000.iNaturalist_v2
Dataset Card for Dataset Name
This dataset is comprised of 1,079 observations that were posted on the iNaturalist app. iNaturalist is a website and mobile app that 'aims to
provide a crowd-sourced identification system' for plants, insects, and animals.
Dataset Details
Dataset Description
For each of the 1,079 observations included in this dataset, there is information about the quality of the associated image (quality_grade), a species label… See the full description on the dataset page: https://huggingface.co/datasets/ba188/iNaturalist_v2.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.ImageNet-CJ
JPEG Re-encoding Confound Control Dataset
A controlled-experiment dataset that isolates one acknowledged-but-unmeasured confound in
ImageNet-C. Hendrycks & Dietterich (Benchmarking Neural Network Robustness to Common
Corruptions and Perturbations, ICLR 2019, arXiv:1903.12261)
save every corrupted image as a lightly compressed JPEG. The benchmark therefore never measures a
corruption c applied to an image x in isolation — it measures JPEG(c(x)). This dataset lets
you quantify how… See the full description on the dataset page: https://huggingface.co/datasets/atharvadagaonkar/ImageNet-CJ.NEON-plant-subplot-pilot
Dataset Card for NEON Plant Presence and Percent Cover Subplot Pilot Images
Pilot dataset for using subplot images from the National Ecological Observatory Network (NEON) to detect plant diversity.
Dataset Details
Dataset Description
Repository: PlotDiversiVision
This dataset contains plant diversity images from two NEON sites: CPER and SCBI.
Each image captures a 1-square-meter subplot labeled with plant species.
NEON curated subplot… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/NEON-plant-subplot-pilot.tamawalt-n-imZZyann
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/Tamazight-NLP/tamawalt-n-imZZyann.IMAGE_SCENE_LEBELLINGInSpect
InSpect
InSpect is a curated natural history collection dataset for visual insect specimen understanding. It contains digitized insect specimen images with aligned crops, hierarchical taxonomy, label-derived structured metadata, and fine-grained anatomical part annotations.
Files
specimen_benchmark_metadata.csv: main metadata table. Each row corresponds to one specimen image and includes split information, taxonomic labels, image/crop paths, and label-derived… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-dataset/InSpect.INVOICE_ANNOTATION_V1image-transcreationchatdeaf-isl-gesturesChatDEAF ISL Dataset-Initial README and metadata update
license: cc-by-4.0
pretty_name: ChatDEAF ISL Gesture Dataset
tags:
sign-language
accessibility
isl
gesture-recognition
multimodal
chatdeaf
task_categories:
image-classification
size_categories:
10<n<100
language:
- en
tags:
sign-language
isl
international-sign
gestures
accessibility
chatdeaf
image-classification
visual-language
{
"belt": "Gesture for 'belt' in ISL.",
"glasses": "Gesture for 'glasses' in… See the full description on the dataset page: https://huggingface.co/datasets/yasodeafs/chatdeaf-isl-gestures.cutclean-datasets
CutClean: balanced datasets
Data accompanying:
Leonardo Magliolo, Vito Paolo Pastore, Giuseppe Valenzise, Enzo Tartaglione.
CutClean: Neural Network Pruning for Privacy-Preserving Inference.
Pattern Recognition — Proceedings of the 28th International Conference on Pattern
Recognition (ICPR 2026), Lyon, France. Lecture Notes in Computer Science, Springer
Nature Switzerland, pp. 450–465.
doi:10.1007/978-3-032-31452-9_30
Code: https://github.com/MaglioloLeonardo/CutClean
The… See the full description on the dataset page: https://huggingface.co/datasets/imDalton/cutclean-datasets.INVOICE_ANNOTATION_V2Crop_Disease_Images
Crop Disease Expert Annotations
1,092 crop images annotated by agricultural experts with ground truth diagnoses covering pests, diseases, and nutrient deficiencies across 74 crop types.
Dataset
File: annotations.csv (4 columns)
Column
Description
image_url
URL to the crop image
crop
Crop or plant identified by the expert
diagnosis
Pest, disease, or nutrient deficiency name(s); Healthy if none
details
Expert's observations on visible symptoms… See the full description on the dataset page: https://huggingface.co/datasets/kirutheen/Crop_Disease_Images.hse-safety-inspection-data
HSE Inspection Reports Dataset
Labeled industrial safety inspection records for training HSE compliance models.
Overview
This dataset contains structured inspection reports from industrial facility safety walkthroughs. Each record documents observed conditions, violation categories, severity levels, and recommended actions — designed for training and evaluating vision-language models on HSE compliance tasks.
Structure
File
Description
Format… See the full description on the dataset page: https://huggingface.co/datasets/davidfertube/hse-safety-inspection-data.Crop_Disease_Images
Crop Disease Expert Annotations
1,092 crop images annotated by agricultural experts with ground truth diagnoses covering pests, diseases, and nutrient deficiencies across 74 crop types.
Dataset
File: annotations.csv (4 columns)
Column
Description
image_url
URL to the crop image
crop
Crop or plant identified by the expert
diagnosis
Pest, disease, or nutrient deficiency name(s); Healthy if none
details
Expert's observations on visible symptoms… See the full description on the dataset page: https://huggingface.co/datasets/Mithun2009/Crop_Disease_Images.