datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
reboot-hub-dji-drone-specs-used-price-index
Reboot Hub DJI Drone Specs and Used Price Index
This dataset provides a complete public Q3 2026 table of 43 aircraft model-level listed-price aggregates summarizing 251 published Reboot Hub catalog configurations, plus four illustrative records with richer repair-risk context.
Version: 0.2.0
Zenodo concept DOI: https://doi.org/10.5281/zenodo.21246532
Exact v0.2.0 DOI: https://doi.org/10.5281/zenodo.21387578
Primary source page:
https://reboot-hub.com/pages/reboot-hub-data… See the full description on the dataset page: https://huggingface.co/datasets/Thomas0229/reboot-hub-dji-drone-specs-used-price-index.ahsanneural_drone-swarm-coordination-dataset
Drone Swarm Coordination
Simulated multi-drone swarm flight paths with communication and collision log
Dataset Info
Source: Kaggle
Original Size: 1.11 MB
Kaggle Downloads: 47
Files: 1
Files
synthetic_drone_swarm_dataset.csv
Mirrored from Kaggle
drone-landing-zone-perception-coherence-risk-v0.1What this repo is for
Detect when landing will fail before final descent.
Focus
• landing zone perception
• altitude accuracy
• obstacle density
• gust impact
Why it matters
Many drone losses happen during landing.
Signals appear seconds before failure.
drone_function_calling_datasetdrone-control-loop-stability-coherence-risk-v0.1What this repo is for
Detect when a drone’s control loop is drifting toward instability.
Focus
• latency
• oscillation
• actuator response
• tuning quality
• disturbance handling
Why it matters
Loss of control often starts as small oscillations.
This dataset flags the instability early.
Drone-flight-monitoring-reasoning-SFT
Drone-flight-monitoring-reasoning-SFT
Dataset Description
本数据集是一个专注于无人机飞行安全领域的中文问答数据集，采用了Chain-of-Thought (CoT) 的格式。它旨在用于练习大语言模型的微调训练，使其能够模拟专家思考过程，并针对无人机安全相关问题生成包含推理步骤的结构化回答。微调后模型见(GabrielCheng/Deepseek-r1-finetuned-drone-safty) 。
本数据集是基于 Hugging Face 平台上的 skylink-drone-cot-datasets (pohsjxx/default-domain-cot-dataset) 进行处理和衍生的。
Dataset Structure / Data Fields
数据集中的每个样本包含以下字段：
Question (string): 关于无人机飞行安全或风险相关的问题。
Reasoning (string): 模拟模型的推理过程。
Answer… See the full description on the dataset page: https://huggingface.co/datasets/GabrielCheng/Drone-flight-monitoring-reasoning-SFT.drone-flight-plan-environment-coherence-drift-v0.1What this repo is for
Detect when the mission plan no longer matches the real environment.
Focus
• wind and gust variability
• obstacle map freshness
• GPS denial risk
• observed path deviation
Why it matters
Most drone incidents start as small route drift.
This dataset flags the drift before collision or abort.
drone-navigation-sensor-coherence-risk-v0.1What this repo is for
Detect when a drone’s navigation stack is about to fail.
Focus
• GPS quality vs IMU drift
• vision odometry quality
• altimeter stability
• fusion residual as the early warning signal
Why it matters
Most flight failures start as sensor disagreement.
This dataset teaches a model to flag that drift early.
DronePathTracker
DronePathTracker
tags: Navigation, Path, Anomaly Detection
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'DronePathTracker' dataset is designed to assist machine learning practitioners in developing models for drone navigation and anomaly detection. Each row represents a segment of a drone's flight path, including coordinates, timestamps, and metadata. The dataset is useful for training models that can predict drone… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/DronePathTracker.drone-flight-object-identificationThis repo contains input and output video files for a computer vision pipeline that identifies objects with a pretrained RT-DETR model.
The video file output and per-frame metadata (confidence scores, object counts, etc) can be uploaded to Nominal for collaborative, scalable data review.
Original video source: https://www.youtube.com/watch?v=0oucTt2OW7M&list=PPSV
Inspect this data in a Nominal Workbook! (login required)
drone-battery-mission-coherence-risk-v0.1What this repo is for
Detect when a drone cannot safely complete the mission and return.
Focus
• battery health and remaining energy
• payload and wind load
• route length vs return margin
Why it matters
Many incidents come from energy planning drift.
This dataset flags the risk early.
drone-comm-link-telemetry-coherence-risk-v0.1What this repo is for
Detect when the command link and telemetry are drifting toward failure.
Focus
• signal quality and interference
• latency and packet loss
• telemetry freshness
• failover availability
Why it matters
Link failure often begins as rising latency and stale telemetry.
This dataset flags the drop before loss of control.
siglip2-blind-spots
SigLIP2-Large Blind Spots Dataset
Model Tested
google/siglip2-large-patch16-512
878M parameters
Architecture: Vision Transformer with sigmoid contrastive loss
How The Model Was Loaded
Zero-Shot Classification
from transformers import pipeline
import torch
classifier = pipeline(
task="zero-shot-image-classification",
model="google/siglip2-large-patch16-512",
torch_dtype=torch.float16,
device=0
)
results = classifier(image… See the full description on the dataset page: https://huggingface.co/datasets/Dronezup/siglip2-blind-spots.autonomous_drone_flight_telemetry_logsdrone_turn_analysis_data
Dataset Summary
Drone Turn Analysis Data dataset provides information on drone turning behavior, this dataset collected using the Mission Planner simulator for educational purpose.
Features:
Timestamp: Time of the data capture.
Velocity: Drone's speed (m/s) during the turn.
Heading Change: Directional change in degrees.
Target Distance: Planned distance for the maneuver.
Actual Distance: Actual distance covered.
Overshoot: Difference between target and actual distances.… See the full description on the dataset page: https://huggingface.co/datasets/SGF-14/drone_turn_analysis_data.precision_agriculture_drone_hyperspectraldrone-flight-instruction-classification
Drone Flight Instruction Classification
Description
Dataset of drone navigation instructions categorized by movement type.
Data Fields
text: Flight instruction
action: Drone movement label
Actions
ascend
descend
move_forward
rotate_left
rotate_right
License
CC-BY-4.0
autonomous_delivery_drone_telemetrydronesdarconia-dronesSAP_testdrone_proliferation