datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lagenda_split
LAGENDA Dataset
This is a community mirror of the LAGENDA dataset created by LayerTeam. It has been uploaded here for easier access and integration with the Hugging Face datasets library.
All credit, rights, and accolades belong to the original authors. Please see the citation section below.
Dataset Description
LAGENDA (Large Age and Gender Dataset) is a dataset designed for age and gender recognition tasks. It addresses common biases in existing datasets by ensuring a… See the full description on the dataset page: https://huggingface.co/datasets/uaebn/lagenda_split.lagenda
LAGENDA Dataset
This is a community mirror of the LAGENDA dataset created by LayerTeam. It has been uploaded here for easier access and integration with the Hugging Face datasets library.
All credit, rights, and accolades belong to the original authors. Please see the citation section below.
Dataset Description
LAGENDA (Large Age and Gender Dataset) is a dataset designed for age and gender recognition tasks. It addresses common biases in existing datasets by ensuring a… See the full description on the dataset page: https://huggingface.co/datasets/uaebn/lagenda.Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform
Person Detection and Re-Identification from Low Altitude UAV-based Platform
Dataset Description
This dataset was collected as part of a master's thesis on person detection and re-identification using low-altitude UAV (drone) footage. It contains labeled aerial images captured from a DJI Mini drone, annotated in YOLOv8 format.
The dataset supports two tasks:
Person Detection — detecting people in aerial drone footage
Person Re-Identification (Re-ID) — recognizing and… See the full description on the dataset page: https://huggingface.co/datasets/Mikiee/Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform.MH_SoyaHealthVision_disease_classification_uav
MH SoyaHealthVision Disease Classification UAV
A dataset for disease classification of soybean leaves. The dataset contains 2,842 images across 4 classes: Healthy, Mosaic, Rust, Semilooper_Pest.Images per class:
Healthy: 280
Mosaic: 772
Rust: 1,000
Semilooper_Pest: 790
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{shinde2025indian,
title={An Indian UAV and leaf image dataset for integrated crop… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/MH_SoyaHealthVision_disease_classification_uav.Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform
Person Detection and Re-Identification from Low Altitude UAV-based Platform
Dataset Description
This dataset was collected as part of a master's thesis on person detection and re-identification using low-altitude UAV (drone) footage. It contains labeled aerial images captured from a DJI Mini drone, annotated in YOLOv8 format.
The dataset supports two tasks:
Person Detection — detecting people in aerial drone footage
Person Re-Identification (Re-ID) — recognizing… See the full description on the dataset page: https://huggingface.co/datasets/yuotub/Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform.war-gov-uap-release-1
Department of War UAP Release 1 — structured corpus
The first tranche of declassified U.S. government records on Unidentified
Anomalous Phenomena (UAP / UFOs), released by the Department of War on
8 May 2026 under the Presidential Unsealing and Reporting System for
UAP Encounters (PURSUE) directive.
This dataset is a structured, machine-readable companion to the source
material at https://www.war.gov/UFO/. It pairs every original document
with VLM-extracted page text, cropped… See the full description on the dataset page: https://huggingface.co/datasets/MTSlive/war-gov-uap-release-1.soybean_weed_uav_brazil
Soybean Weed Uav Brazil
A dataset for image classification of Soybean Weed Uav Brazil. The dataset contains 15,336 images across 4 classes: broadleaf, grass, soil, soybean.Images per class:
broadleaf: 1,191
grass: 3,520
soil: 3,249
soybean: 7,376
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
dos Santos Ferreira, Alessandro; Pistori, Hemerson; Matte Freitas, Daniel; Gonçalves da Silva, Gercina (2017)… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/soybean_weed_uav_brazil.uav_night
Changping Night Demo
This repository contains a small desensitized representative subset of the self-built Changping Night dataset. It is released to improve the reproducibility of the experimental protocol and to let readers inspect the data format, dual-exposure pairing, reference-position representation, and evaluation metadata.
The full raw dataset is not publicly released due to privacy and geographic-security concerns.
Dataset Contents
The demo subset… See the full description on the dataset page: https://huggingface.co/datasets/starblaze/uav_night.