datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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-detectionsdrone-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_detections
Video Detections (YOLOv26L Drone Detection)
Dataset Schema
The data is stored in Apache Parquet format with snappy compression.
Column
Type
Description
video_id
string
YouTube ID for the source video.
frame_index
int64
The index of the frame in the native video stream.
timestamp
float64
The exact time in the video where the detection occurred (in seconds).
class_label
string
The detected object class label as returned by the model.
x_min, y_min
float32
Top-left… See the full description on the dataset page: https://huggingface.co/datasets/Sliverwall/drone_detections.drone-detections
Drone Detection Frames
Detection frames extracted from two UAV drone videos as part of Assignment 3 (AI Spring 2026 — University of the Aegean).
Dataset Description
Frames were extracted from two YouTube videos containing drone footage. A YOLOv8n model fine-tuned on the Drone Detection dataset (v6) was used to detect drones in every frame. Only frames with at least one detection were saved.
Out of 3599 total detection frames across both videos, every 10th frame was… See the full description on the dataset page: https://huggingface.co/datasets/shiniagarwal/drone-detections.ss20478_Drone_Detection
Drone Detection Frames
This dataset contains annotated video frames where a drone was detected using a fine-tuned YOLOv8s model.
Each row is a single frame with at least one drone detection, stored with its bounding box coordinates and confidence scores.
Dataset Structure
Column
Type
Description
image
Image
Annotated frame with bounding boxes drawn in green
filename
string
Original filename e.g. drone_video_1_frame_00042.jpg
video_name
string
Source video… See the full description on the dataset page: https://huggingface.co/datasets/swati6singh/ss20478_Drone_Detection.Drone-Detectiondrone-detection-frames
UAV Drone Detection and Tracking
This project implements a UAV drone detection and tracking pipeline using a deep learning object detector and a Kalman filter. The system detects drones in video frames and tracks their motion across time while visualizing the drone’s trajectory.
The goal of the project is to demonstrate multi-object tracking concepts using probabilistic filtering and modern computer vision models.
Detector Configuration
The detector used in this… See the full description on the dataset page: https://huggingface.co/datasets/jli43/drone-detection-frames.drone_video_detections
Output Tracking Videos
drone_video_1_tracked.mp4
drone_video_2_tracked.mp4
Dataset Choice and Detector Configuration
For this project I used the Drone detection Computer Vision Model dataset from Roboflow to train the YOLO model. I chose this dataset because it contains 991 images of drones taken from many different angles and in many different environments which improves generalization.
I used the YOLO model for object detection. I chose YOLO… See the full description on the dataset page: https://huggingface.co/datasets/Anand-Rao745/drone_video_detections.drone-detection-assignment3
UAV Drone Detection and Tracking
Detect and track drones in video using YOLO fine-tuned detector, Kalman Filter w/ tuned noise parameters.
Source Videos
Video
URL
drone_video_1
YouTube - DhmZ6W1UAv4
drone_video_2
YouTube - YrydHPwRelI
Training Dataset
Dataset: lgrzybowski/seraphim-drone-detection-dataset
Training images used: 33296 (from ~77K )
Test images: 8349
Detector
Model: YOLOv8n fine-tuned on Seraphim Drone Detection… See the full description on the dataset page: https://huggingface.co/datasets/rollingcoconut/drone-detection-assignment3.drone-detections
Drone Detection Sample Frames
Sample frames from UAV drone detection and tracking pipeline. Frames contain at least one detected drone (or airplane/bird from COCO fallback).
Dataset structure
images/: Detection frames with bounding boxes drawn
drone_video_1_*.jpg — from test video 1
drone_video_2_*.jpg — from test video 2
metadata.parquet: Columns — file_name, video, frame, num_detections
Statistics
drone_video_1: 448 frames
drone_video_2: 124 frames… See the full description on the dataset page: https://huggingface.co/datasets/Dras10/drone-detections.UAV-Drone-Detection-Trackingdrone-detections-assignment3
Drone Detection and Tracking - Assignment 3 Report
This is my report for Assignment 3 where I had to detect drones and track them in video. I used a YOLO model to find the drones and a Kalman filter to keep track of where they are going.
Demo Video
You can see the output video here: YouTube Link
1. Finding the Drones
I used yt-dlp to get the videos and then used ffmpeg to turn them into frames. I skipped some frames (5 per second) so it wouldn't take forever to… See the full description on the dataset page: https://huggingface.co/datasets/saks2002/drone-detections-assignment3.drone_detections
UAV Drone Detection and Tracking with YOLO and Kalman Filter
Overview
This project detects UAV drones in video using a deep learning object detector and tracks them across frames using a Kalman filter. The system processes every .mp4 file in a given input directory, saves frames containing detections, and produces one tracked output video per input video with bounding boxes and 2D trajectories overlaid.
Test Videos
The following YouTube videos were used as the… See the full description on the dataset page: https://huggingface.co/datasets/helimistry/drone_detections.drone-detections-assignment3drone-detectionsDroneDetections_Assignment3drone-uav-detectionsUAV_drone_detectionsdrone-detectionuav-drone-detections
UAV Drone Detection Dataset
Dataset Description
This dataset contains drone detection frames and bounding box annotations extracted from two UAV drone videos as part of an AI course assignment. Detections were generated using a fine-tuned YOLOv8m model trained on the drone-ibqi4 dataset from Roboflow Universe.
Dataset Details
Total detection records: 880
Videos processed: 2
Detector: YOLOv8m fine-tuned for drone detection
Confidence threshold: 0.25
License: CC… See the full description on the dataset page: https://huggingface.co/datasets/lr3531/uav-drone-detections.drone-detection
Drone Detection Sample Frames
This dataset contains the detections/ sample frames exported from Assignment 3 Task 1.
Contents
One row per saved frame that contains at least one drone detection
Embedded image bytes in a Hugging Face-compatible image column
Aggregated detection metadata for all boxes found in that frame
Schema
video_id: source video identifier
frame_index: sampled frame index within the extracted-frame sequence
frame_name: saved image filename… See the full description on the dataset page: https://huggingface.co/datasets/peoplepeople000/drone-detection.drone-detection-assignment3