datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PKLot
PKLot: Parking Space Occupancy Detection Dataset
Unofficial redistribution of the PKLot parking-lot database, reformatted into a standardized YOLO-compatible detection layout, under the original CC BY 4.0 license.
Disclaimer
This repository is not an official release of the PKLot dataset.
PKLot was created by Paulo R. L. de Almeida, Luiz S. Oliveira, Alceu S. Britto Jr, Eunelson J. Silva Jr, and Alessandro L. Koerich, and is distributed by the Vision… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/PKLot.SeaShips
SeaShips (7000): Maritime Ship Detection Dataset
Unofficial redistribution of the SeaShips(7000) maritime ship-detection dataset, reformatted into a standardized YOLO-compatible directory layout. License status is unclear -- see License before using this beyond research.
Disclaimer
This repository is not an official release of SeaShips.
SeaShips was created by Zhenfeng Shao, Wenjing Wu, Zhongyuan Wang, Wan Du, and Chengyuan Li at the State Key… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/SeaShips.UAVid-2020
UAVid: Aerial Semantic Segmentation Dataset
Unofficial redistribution of the UAVid dataset under the original CC BY-NC-SA 4.0 license.
Disclaimer
This repository is not an official release of the UAVid dataset.
The UAVid dataset was created by the original authors, who retain all copyright and intellectual property rights. This repository does not claim ownership of any images, annotations, or metadata.
This repository exists for two purposes:
To… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/UAVid-2020.GWHD
GWHD 2021: Global Wheat Head Dataset (Object Detection)
Unofficial redistribution of the Global Wheat Head Dataset (GWHD) 2021 competition release, reformatted into a standardized YOLO-compatible directory layout.
Disclaimer
This repository is not an official release of the Global Wheat Head Dataset.
GWHD was created by the Global Wheat Head Detection consortium — a multi-institution, multi-country collaboration (David, Serouart, Madec, et al.) — who… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/GWHD.GC10-DET
GC10-DET: Metallic Surface Defect Detection Dataset (Object Detection)
Unofficial redistribution of the GC10-DET metallic surface defect detection dataset, reformatted into a standardized YOLO-compatible directory layout with a deterministic train/val/test split.
Disclaimer
This repository is not an official release of the GC10-DET dataset.
GC10-DET was created by Xiaoming Lv, Fajie Duan, Jia-jia Jiang, Xiao Fu, and Lin Gan (Tianjin University), who… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/GC10-DET.HRSID
HRSID: High-Resolution SAR Images Dataset (Ship Detection)
Unofficial redistribution of the HRSID high-resolution SAR ship-detection dataset, reformatted into a standardized YOLO-compatible directory layout. License status is unclear -- see License before using this beyond research.
Disclaimer
This repository is not an official release of HRSID.
HRSID was created by Shunjun Wei, Xiangfeng Zeng, Qizhe Qu, Mou Wang, Hao Su, and Jun Shi and released via… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/HRSID.Aeroscapes
Aeroscapes: Aerial Semantic Segmentation Dataset
Unofficial redistribution of the AeroScapes dataset under the original CC BY-SA 4.0 license.
Disclaimer
This repository is not an official release of the AeroScapes dataset.
The AeroScapes dataset was created by Ishan Nigam, Chen Huang, and Deva Ramanan, with dataset
collection and manual annotation supported by Autel Robotics. They retain all copyright and
intellectual property rights. This repository… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/Aeroscapes.SSDD
SSDD: SAR Ship Detection Dataset (Object Detection)
Unofficial redistribution of SSDD (SAR Ship Detection Dataset), reformatted into a standardized YOLO-compatible directory layout with a seeded validation split.
Disclaimer
This repository is not an official release of SSDD.
SSDD was created by Tianwen Zhang, Xiaoling Zhang, Jianwei Li, and co-authors, who retain all copyright. This repository does not claim ownership of any images, annotations, or… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/SSDD.drone-router-dataset-navlink-v2
NAVLINK Drone Router Dataset — Round 2 Snapshot
This dataset is the exact training/eval snapshot used for the best reviewed overnight FunctionGemma/NAVLINK run (“10-epoch run 2”), which reached:
Tool-call exact-match accuracy (line 1): 95.2%
476 / 500 correct
0 safety violations
This is the dataset snapshot before the later waypoint-copy-heavy augmentation that regressed performance.
Files
navlink_train_run2.jsonl — 4,307 training examples
navlink_test_run2.jsonl —… See the full description on the dataset page: https://huggingface.co/datasets/llama-farm/drone-router-dataset-navlink-v2.drone-datasets
drone-datasets
Dataset con due configurazioni (cm, meters), ciascuna con split train e test.
MARIDA
MARIDA: Marine Debris Detection from Sentinel-2 (Object Detection)
Unofficial redistribution of MARIDA (Marine Debris Archive), converted from its native per-pixel classification masks into a standardized YOLO/COCO object-detection layout via connected-component extraction.
Disclaimer
This repository is not an official release of MARIDA.
MARIDA was created by Katerina Kikaki, Ioannis Kakogeorgiou, Paraskevi Mikeli, Dionysios E. Raitsos, and… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/MARIDA.HRP4K
HRP4K: High-Resolution Road Pothole Detection Dataset
Unofficial redistribution of the HRP4K road pothole-detection dataset (V1.00, Zenodo), under the original CC BY 4.0 license, with a documented upstream train-split completeness gap.
Disclaimer
This repository is not an official release of the HRP4K dataset.
HRP4K was created by Hanshen Chen, Zhoulin Tu, Yu Zhao, and Jianfeng Ye, who retain all copyright and intellectual property rights (to the… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/HRP4K.drone_fsd_dataset
Drone FSD Dataset
A Single Sample training run of: 1 epoch, 4 iterations, 198 steps in drone navigation in a 60×60 room with 15 static + 12 floating obstacles.
This dataset was generated with the MIRROR IDE by webXOS. Download the app in the /mirror/ folder to train your own similar datasets.
Final performance (after 2456 frames):
- Best time: 43.821 s
- Success rate: 0.0% (reached SE corner in best run but did not complete full pattern)
- Collisions: 0 in final… See the full description on the dataset page: https://huggingface.co/datasets/webxos/drone_fsd_dataset.reboot-hub-drone-industry-evidence-briefs
Reboot Hub Drone Industry Evidence Briefs
This repository preserves concise, source-bounded evidence briefs derived from Reboot Hub Industry Hotspot analysis. Each brief separates what public evidence establishes from what remains unknown, then turns that boundary into a practical decision framework.
This is not a manufacturer release feed, a copy of the source articles, or a product endorsement. Reboot Hub is an independent drone lifecycle and technical-reference company and is… See the full description on the dataset page: https://huggingface.co/datasets/Thomas0229/reboot-hub-drone-industry-evidence-briefs.CeyMo
CeyMo: Road Marking Detection Dataset
Unofficial redistribution of the CeyMo road-marking detection dataset (WACV 2022), reformatted into a standardized YOLO-compatible layout, under the original MIT license.
Disclaimer
This repository is not an official release of the CeyMo dataset.
CeyMo was created by Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama, Shenali Kariyawasam, Ranga Rodrigo, and Peshala Jayasekara, who retain all copyright and… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/CeyMo.Murder-dronesthis is a simple transcription of murder drones the cannon version and all of these raw transcripts are genrated by gemini in the next update there will be a new version where these will be more accurate and better
gemma3-military_dronedrone-racing-rl-trajectories
Drone Racing RL Trajectories — 876 Episodes with Failure Taxonomy
What makes this dataset unusual: it is mostly failures, and they are labelled.
Published RL trajectory sets are overwhelmingly successful rollouts. This one is
the opposite — 817 of 876 episodes passed zero gates — and every one carries
a categorised abort reason. If you are working on reward shaping, failure
prediction, curriculum design, or robustness, the failure distribution is the
part you usually cannot get.… See the full description on the dataset page: https://huggingface.co/datasets/machinakump/drone-racing-rl-trajectories.Drone_barudrone-flight-commands-json
Drone Flight Commands Dataset
JSON dataset containing basic flight commands
for aerial drones.
function_calling_drone_sharegpt_stylellm_drones_maintenanceuav_drone_detections_finalsigma-drone-sftdidgeridoo-earth-drone-v2
Didgeridoo Earth Drone v2
Private Sonic-Forage training-prep dataset.
Repo target: Sonic-Forage/didgeridoo-earth-drone-v2Rows: 141 clips (124 train / 17 validation)Total duration: 13.94 minutesLicense lane: cc0-1.0
Description
CC0 didgeridoo drone text-audio pairs for Stable Audio style/LoRA experiments.
Layout
clips/*.wav — mono 44.1 kHz training clips
train.jsonl / val.jsonl — loader-friendly rows with file_name, text, duration, split, id… See the full description on the dataset page: https://huggingface.co/datasets/Sonic-Forage/didgeridoo-earth-drone-v2.drone-mission-status-json
Drone Mission Status Dataset
JSON dataset tracking mission execution states
for aerial robots.
KITTI
KITTI: 2D Object Detection Dataset
Unofficial redistribution of the KITTI 2D object detection benchmark's labelled data, at original resolution and PNG fidelity, split using the Chen et al. (2015) train/validation convention, under the original CC BY-NC-SA 3.0 license.
Disclaimer
This repository is not an official release of the KITTI dataset.
KITTI was created by Andreas Geiger, Philip Lenz, and Raquel Urtasun at the Karlsruhe Institute of… See the full description on the dataset page: https://huggingface.co/datasets/dronefreak/KITTI.