datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pfm1-landmine-uav-vnir-hsi-IGARSS-2026
PFM-1 Landmine VNIR Hyperspectral Imaging Dataset (IGARSS 2026)
Dataset Description
This dataset 1 contains Visible and Near-Infrared (VNIR) Hyperspectral Imaging (HSI) data prepared for the
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2026.
This specific version is a refined subset of the original benchmark dataset 2. While the original
release provided full radiance cubes, broad GCP/AeroPoint data, and reference ground… See the full description on the dataset page: https://huggingface.co/datasets/SagarLekhak/pfm1-landmine-uav-vnir-hsi-IGARSS-2026.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.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.