Drone videos and their annotations of passing sheep (for counting purpose)

The data below are part of the European H2020 project ICAERUS regarding the livestock monitoring use case. More information here : https://icaerus.eu/

Counting sheep is particularly challenging for farmers with hundreds of animals in a flock. Our objective is to develop methodology based on computer vision to count sheep when they are passing in a corridor to coming back in a park or a pen. This first dataset will support our work. 

The dataset encompasses 4 .MP4 videos from drone (DJI mavic 3 Enterprise or Thermal) of around 50 sheep crossing a gate. The videos were taken from 5m to 10m of height and to an horizontal distance of the gate from 0m to 10m. 

The videos come from previous datasets (https://doi.org/10.5281/zenodo.10400302) but have been modified to facilitate annotation: the duration of each video has been reduced to 30 seconds or less with 9 frames per second. Image size has been modified to 1440x1080 pixels.Annotation files are available in MOTS and YOLO formats.

This dataset encompasses the following data:-----Videos: a directory were the videos are stored (4 videos, RGB images taken from 5 or 10m of altitude; images size of 1440x1080, videos taken with DJI MAVIC3T).-------------crop_23.11.23-XX: a directory by flight containing the video of a unique flight, with the date (YY.MM.DD) and XX representing a mission number-----MOT1.1: a directory with the annotations of cows at the MOTS format-------------MOT1.1_crop_23.11.23-XX: a directory by flight containing the annotations, one annotation file referred to an unique image and have the same name except the extension-----YOLO1.1: a directory with the annotations of cows at the YOLO format-------------YOLO1.1_crop_23.11.23-XX: a directory by flight containing the annotations, one annotation file referred to an unique image and have the same name except the extension

More videos will be published in the next months.

For more information, please contact: [e-mail] 

The authors are opened to any collaborations on this topic.