datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
seraphim-drone-detection-dataset
Seraphim Drone Detection Dataset
Dataset Overview
This is a comprehensive drone image dataset curated from 23 open-source datasets and processed through a custom cleaning pipeline. The dataset is designed for training object detection models to identify drones in various environments and conditions. The majority of images feature rotary-wing (multi-rotor) unmanned aerial vehicles (UAVs), with a smaller portion representing fixed-wing and hybrid.… See the full description on the dataset page: https://huggingface.co/datasets/lgrzybowski/seraphim-drone-detection-dataset.drone-audio-detection-samples
Dataset Description
Drone Audio Detection Samples (DADS) is currently the largest publicly available drone audio database, specifically designed for developing drone detection systems using deep learning techniques. All audio files are standardized to a sample rate of 16,000 Hz, 16-bit depth, mono-channel, and vary in length from 500 milliseconds to several minutes.
Most drone audio files were manually trimmed to ensure that a drone was always present in the recording. However, some… See the full description on the dataset page: https://huggingface.co/datasets/geronimobasso/drone-audio-detection-samples.Drone-Detectiondrone-detectionDrone_Detection
Dataset Card for Dataset Name
Credit: https://www.kaggle.com/datasets/dasmehdixtr/drone-dataset-uavThis is a dataset from the above the link. It's used for object detection training on yolo model for the class of drone.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More… See the full description on the dataset page: https://huggingface.co/datasets/ywanny/Drone_Detection.Drone_Detection_Survaillance
Drone Detection Surveillance
This dataset supports detecting small aerial objects in surveillance-style CCTV imagery. It includes labeled images for five classes: propeller drones, fixed-wing drones, helicopters, birds, and planes, to reduce confusion between drones and other objects.
The dataset is about 12 GB with roughly 15200 images. It’s organized into Train, Dev, and Test splits, then REAL and AI subfolders, and finally per-class folders. Annotations are Pascal VOC-style… See the full description on the dataset page: https://huggingface.co/datasets/ratio1/Drone_Detection_Survaillance.drone-detection-dataset
Dataset Card for Drone Detection Dataset
This dataset card describes the processed version of the Drone Detection Dataset, originally curated by Maciej Pawełczyk and Marek Wojtyra, adapted to a COCO-style format for efficient usage in modern deep learning pipelines
Dataset Details
Dataset Description
The Drone Detection Dataset is a real-world object detection dataset for UAV detection tasks. It includes RGB images annotated with bounding boxes in the COCO… See the full description on the dataset page: https://huggingface.co/datasets/pathikg/drone-detection-dataset.drone-bird-detection-datasetcranfield-synthetic-drone-detectionIf you use this, pleace cite Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data (https://arxiv.org/abs/2411.09077)
training
Training Data for Detecting Drones
This dataset was generated for a bachelor degree in computer science.
The aim was to improve the detection score on the drone versus bird dataset.
The images in each folder are from videos with a frame rate of 25 FPS.
They are intended to be used for the training of recurrent computer vision models.
seraphim-drone-detection-dataset
Seraphim Drone Detection Dataset
Dataset Overview
This is a comprehensive drone image dataset curated from 23 open-source datasets and processed through a custom cleaning pipeline. The dataset is designed for training object detection models to identify drones in various environments and conditions. The majority of images feature rotary-wing (multi-rotor) unmanned aerial vehicles (UAVs), with a smaller portion representing fixed-wing and hybrid.… See the full description on the dataset page: https://huggingface.co/datasets/oversky1234pp/seraphim-drone-detection-dataset.seraphim-drone-detection-dataset
Seraphim Drone Detection Dataset
Dataset Overview
This is a comprehensive drone image dataset curated from 23 open-source datasets and processed through a custom cleaning pipeline. The dataset is designed for training object detection models to identify drones in various environments and conditions. The majority of images feature rotary-wing (multi-rotor) unmanned aerial vehicles (UAVs), with a smaller portion representing fixed-wing and hybrid.… See the full description on the dataset page: https://huggingface.co/datasets/XIaosj/seraphim-drone-detection-dataset.fpv-drone-detection-dataset
FPV Analog Video Signal Dataset for Real-time Detection
Description
This dataset contains captured analog CVBS (Color, Video, Blanking, and Sync) signals from FPV drones, specifically NTSC standard. The data was collected to support the development of signal processing algorithms for resource-constrained embedded systems (ESP32 and STM32).
Dataset Structure
The dataset is provided as a master index file and several compressed archives containing raw CSV signal… See the full description on the dataset page: https://huggingface.co/datasets/lll-a-p/fpv-drone-detection-dataset.drone-detection-dataset
Dataset Card for Drone Detection Dataset
This dataset card describes the processed version of the Drone Detection Dataset, originally curated by Maciej Pawełczyk and Marek Wojtyra, adapted to a COCO-style format for efficient usage in modern deep learning pipelines
Dataset Details
Dataset Description
The Drone Detection Dataset is a real-world object detection dataset for UAV detection tasks. It includes RGB images annotated with bounding boxes in the COCO… See the full description on the dataset page: https://huggingface.co/datasets/Aditya-0900/drone-detection-dataset.seraphim-drone-detection-dataset
Seraphim Drone Detection Dataset
Dataset Overview
This is a comprehensive drone image dataset curated from 23 open-source datasets and processed through a custom cleaning pipeline. The dataset is designed for training object detection models to identify drones in various environments and conditions. The majority of images feature rotary-wing (multi-rotor) unmanned aerial vehicles (UAVs), with a smaller portion representing fixed-wing and hybrid.… See the full description on the dataset page: https://huggingface.co/datasets/mintartem/seraphim-drone-detection-dataset.seraphim-drone-detection-dataset
Seraphim Drone Detection Dataset
Dataset Overview
This is a comprehensive drone image dataset curated from 23 open-source datasets and processed through a custom cleaning pipeline. The dataset is designed for training object detection models to identify drones in various environments and conditions. The majority of images feature rotary-wing (multi-rotor) unmanned aerial vehicles (UAVs), with a smaller portion representing fixed-wing and hybrid.… See the full description on the dataset page: https://huggingface.co/datasets/Akshay-Soni/seraphim-drone-detection-dataset.uav-drone-detections
🚁 Autonomous UAV Drone Detection & Predictive Tracking
🚀 The Vision
Unstructured video footage is messy. This project is an end-to-end Computer Vision and Data Engineering pipeline built to ingest raw, noisy video streams and extract clean, actionable trajectory data. By combining deep learning object detection with probabilistic kinetic tracking, this system autonomously finds and tracks Unmanned Aerial Vehicles (UAVs)—even when they are tiny, distant, or… See the full description on the dataset page: https://huggingface.co/datasets/Shauryaaa05/uav-drone-detections.drone-audio-detection-samples
Dataset Description
Drone Audio Detection Samples (DADS) is currently the largest publicly available drone audio database, specifically designed for developing drone detection systems using deep learning techniques. All audio files are standardized to a sample rate of 16,000 Hz, 16-bit depth, mono-channel, and vary in length from 500 milliseconds to several minutes.
Most drone audio files were manually trimmed to ensure that a drone was always present in the recording. However… See the full description on the dataset page: https://huggingface.co/datasets/gr1047/drone-audio-detection-samples.drone-audio-detection-samples
Dataset Description
Drone Audio Detection Samples (DADS) is currently the largest publicly available drone audio database, specifically designed for developing drone detection systems using deep learning techniques. All audio files are standardized to a sample rate of 16,000 Hz, 16-bit depth, mono-channel, and vary in length from 500 milliseconds to several minutes.
Most drone audio files were manually trimmed to ensure that a drone was always present in the recording. However… See the full description on the dataset page: https://huggingface.co/datasets/phila415/drone-audio-detection-samples.apple_detection_drone_brazil
Apple Detection Drone Brazil
A dataset for object detection of apples. The dataset contains 689 images with 2,471 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{DBLP:journals/corr/abs-2110-12331,
author={Thiago T. Santos and Luciano Gebler},
title={A methodology for detection and localization of fruits in apples orchards from aerial images},
journal={CoRR}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/apple_detection_drone_brazil.drone-detection-dataset
Dataset Card for Drone Detection Dataset
This dataset card describes the processed version of the Drone Detection Dataset, originally curated by Maciej Pawełczyk and Marek Wojtyra, adapted to a COCO-style format for efficient usage in modern deep learning pipelines
Dataset Details
Dataset Description
The Drone Detection Dataset is a real-world object detection dataset for UAV detection tasks. It includes RGB images annotated with bounding boxes in… See the full description on the dataset page: https://huggingface.co/datasets/Gremleen/drone-detection-dataset.drone-detectionsdrone-detection-dataset
Dataset Card for Drone Detection Dataset
This dataset card describes the processed version of the Drone Detection Dataset, originally curated by Maciej Pawełczyk and Marek Wojtyra, adapted to a COCO-style format for efficient usage in modern deep learning pipelines
Dataset Details
Dataset Description
The Drone Detection Dataset is a real-world object detection dataset for UAV detection tasks. It includes RGB images annotated with bounding boxes in the COCO… See the full description on the dataset page: https://huggingface.co/datasets/ChinnaSAMY1/drone-detection-dataset.drone-detectionsdrone-detectionsUAV-Drone-Detectionuav-drone-detectionsuav-drone-detection-sample-frames
UAV Drone Detection Sample Frames
This dataset contains sample annotated detection frames produced for a UAV drone detection and tracking assignment.
Files
drone_detections.parquet: one row per detected frame sample.
Parquet schema
image: annotated detection frame
video_name (string): source video folder name
frame (string): frame filename
x1 (float): left bounding box coordinate
y1 (float): top bounding box coordinate
x2 (float): right bounding box… See the full description on the dataset page: https://huggingface.co/datasets/PotriAbhiB/uav-drone-detection-sample-frames.drone-audio-detection-samples
Dataset Description
Drone Audio Detection Samples (DADS) is currently the largest publicly available drone audio database, specifically designed for developing drone detection systems using deep learning techniques. All audio files are standardized to a sample rate of 16,000 Hz, 16-bit depth, mono-channel, and vary in length from 500 milliseconds to several minutes.
Most drone audio files were manually trimmed to ensure that a drone was always present in the recording. However, some… See the full description on the dataset page: https://huggingface.co/datasets/trgyzfiehcdnik/drone-audio-detection-samples.drone-audio-detection-samples
Dataset Description
Drone Audio Detection Samples (DADS) is currently the largest publicly available drone audio database, specifically designed for developing drone detection systems using deep learning techniques. All audio files are standardized to a sample rate of 16,000 Hz, 16-bit depth, mono-channel, and vary in length from 500 milliseconds to several minutes.
Most drone audio files were manually trimmed to ensure that a drone was always present in the recording. However, some… See the full description on the dataset page: https://huggingface.co/datasets/Shubham-bisht-405219/drone-audio-detection-samples.