DroneZaic Dataset: a robust end-to-end pipeline for mosaicking freely flown aerial video of agricultural fields

Unoccupied aerial vehicles (UAVs) are increasingly used for high-throughput phenotyping in quantitative genetics and breeding trials. In principle, freely flown vehicles would permit real-time flexibility in identifying and monitoring regions and plants of interest. Mosaicking multiple images provides a high-resolution global image, and consumer-grade UAVs offer low cost, ease of flying, and excellent RGB cameras. However, the vehicles’ inaccurate telemetry complicates estimating the homographies between pairs of frames during mosaicking, and accumulated errors distort later portions of the mosaic. Crop fields are particularly challenging because their regular planting pattern and very similar plants eliminate the distinctive features that guide mosaicking. To meet these challenges for a wider range of investigators, we propose DroneZaic, an end-to-end pipeline that dynamically samples video frames, automates camera and gimbal calibration, estimates homographies, and gener..., , , # DroneZaic: a robust end-to-end pipeline for mosaicking freely flown aerial video of agricultural fields

Dataset DOI: [10.5061/dryad.r4xgxd2q7](10.5061/dryad.r4xgxd2q7)

## Description of the data and file structure

### ***DroneZaic*** Dataset

Welcome to the **DroneZaic** dataset repository, accompanying our paper:

**\"*DroneZaic*: A robust end-to-end pipeline for mosaicking freely flown aerial video of agricultural fields.\"**

This dataset supports the evaluation and reproducibility of our proposed end-to-end aerial video mosaicking pipeline.

#### Dataset Structure

The dataset is organized into four main directories:

##  `1_raw_videos.zip`

This directory contains the raw aerial video test data used in the paper. The videos were captured using different flight trajectories and at various growth stages of agricultural fields. Each subdirectory represents a specific flight mission.

Each video is accompanied by its corresponding subtitle file (`.SRT`) and can be parsed using ...,