datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
dronescapes
Dronescapes dataset
Visit the official website for more information: link. This dataset was introduced in our ICCV 2023 workshop paper: link. For citing, see at the end of the page.
Note: An fully-automated extended variant of this dataset (generating new modalities as inputs) is available at this repository: link.
1. Downloading the data
git lfs install # Make sure you have git-lfs installed (https://git-lfs.com)
git clone… See the full description on the dataset page: https://huggingface.co/datasets/Meehai/dronescapes.Public-dronesdronescapes2
Dronescapes Experts dataset
This dataset is an extension of the original dronescapes dataset with new modalities generated using VRE 100% from scratch (aka pretrained experts). The only data that is not generable by VRE is the Ground Truth: semantic (human annotated), depth & normals (SfM) that is inherited from the original dataset for evaluation purposes only.
1. Downloading the data
Option 1. Download the pre-processed dataset from HuggingFace… See the full description on the dataset page: https://huggingface.co/datasets/Meehai/dronescapes2.dronescapes2_annotated_train_set
Dataset Card for DroneScapes2 (annotated train set)
This is a FiftyOne dataset with 218 samples. It's a subset of this split from the original repo.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/dronescapes2_annotated_train_set.HUBT_from_a_drones_perspective
HUTB From a Drone's Perspective
Dataset Summary
HUTB From a Drone's Perspective is a synthetic, multi-map UAV dataset generated
with OpenHUTB/CARLA. It provides synchronized visible RGB, metric depth,
surface normals, target semantic segmentation, LiDAR, and vehicle/pedestrian
detection annotations from elevated oblique viewpoints.
The current release contains:
4,081 synchronized frames at 1920 x 1080 pixels.
8 simulated maps.
6 weather and illumination… See the full description on the dataset page: https://huggingface.co/datasets/yutiangu/HUBT_from_a_drones_perspective.thewilds_drones
Dataset Card for The Wilds Drones
This dataset contains drone mission data collected at The Wilds safari park in Ohio during Summer 2025.
Manual drone flights captured video footage of specific sites at The Wilds to support ecological monitoring, animal behavior analysis, and aerial object detection modeling.
Dataset Details
This dataset was created to support multimodal wildlife monitoring research using unmanned aerial vehicle (UAV) technology. Drone missions were… See the full description on the dataset page: https://huggingface.co/datasets/imageomics/thewilds_drones.drone_stl_env0000_v1_nogroundThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "uav",
"total_episodes": 500,
"total_frames": 100000,
"total_tasks": 5,
"total_videos": 1000,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:500"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Celina717/drone_stl_env0000_v1_noground.gym_pybullet_dronesThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 1000,
"total_frames": 91181,
"total_tasks": 1000,
"total_videos": 1000,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1000"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/bensprenger/gym_pybullet_drones.drone_single_gate_multitask_v1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 2000,
"total_frames": 210636,
"total_tasks": 8,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 25,
"splits": {
"train": "0:2000"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/wojsza05/drone_single_gate_multitask_v1.DroneSnowAndRain
More free datasets available on Duality's website. You will need to create a free account.
This dataset has images like the pictures show below:
Go to Duality's website for these other datasets (and more):
drone_single_gate_baseThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 1000,
"total_frames": 38663,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 25,
"splits": {
"train": "0:1000"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/wojsza05/drone_single_gate_base.Aster-DroneSurvey
Aster Marine Lab — DroneSurvey
The table below is the authoritative transfer manifest for the drone survey.
Batch
Decision
Destination
Volume GB
DS-90
quarantine
Review Bay
11
DS-91
ship
Open Shelf
8
DS-92
discard
Cold Vault
50
DS-93
Ship
Pier Cache
17
DS-94
hold
Review Bay
4
DS-95
ship
cold vault
6
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
drone_single_gate_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 1000,
"total_frames": 38923,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 25,
"splits": {
"train": "0:1000"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/wojsza05/drone_single_gate_v2.drone_single_gate_base_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 1000,
"total_frames": 38673,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 25,
"splits": {
"train": "0:1000"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/wojsza05/drone_single_gate_base_2.fiber-optic-drones
Fiber-Optic Drones (full release)
2,260 images + 8,759 bounding boxes + 5,114 verified detections for fiber-optic drone object detection. Image bytes are inlined so you can load_dataset() and start training immediately.
If you only want labels (no pixels, fully redistributable), see the sister dataset:
waltgrace/fiber-optic-drones-labels.
What's in here
2,260 images bundled inline (~309 MB Parquet)
8,759 bounding boxes (Falcon Perception)
5,114 boxes (58%)… See the full description on the dataset page: https://huggingface.co/datasets/waltgrace/fiber-optic-drones.drone_single_gateThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": null,
"total_episodes": 200,
"total_frames": 10488,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 25,
"splits": {
"train": "0:200"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/wojsza05/drone_single_gate.drone-spectrogramfiber-optic-drones-labels
Fiber-Optic Drones — Labels Only
Bounding-box annotations for 2,260 fiber-optic-drone candidate images, with VLM verification verdicts. No image pixels are included — only labels and metadata. This is the zero-redistribution-risk release.
If you want the labels with the original images, see the sister dataset:
waltgrace/fiber-optic-drones.
What's in here
2,260 images
8,759 bounding boxes (Falcon Perception)
5,114 boxes (58%) verified YES by Qwen 2.5-VL-3B
5… See the full description on the dataset page: https://huggingface.co/datasets/waltgrace/fiber-optic-drones-labels.droneSample1drone-spectrogram-v2drone-spectrogram-v3Drones_datasetMurder-Drones-Voices-Modelllm_drones_maintenanceHS.DroneStudyDrone-Shadow-Detectiondarconia-dronesdronesdrones