Labeled dataset for bee detection and direction estimation on beehive landing boards

Bee detection/segmentation datasets contain directories of images and labels. Detection dataset contains 7200 frames. Segmentation dataset contains 2300 cropped images of bees labeled with triangle shape for direction vector estimation. Labels are saved in yolo format. Frame resolution 1920x1080. Frames were captured 30 cm above 8 different beehive landing boards. Time: June-July 2023. Location: Lithuania. In version no. 5 labels were corrected in detection dataset. In version no. 5 an extra directory for pose dataset was added for bee direction estimation. Annotations in pose dataset were saved in yolo format. If bee is fully visible then first point [px1, py1] marks a head, second point [px2, py2] marks stinger. If only part of bee is visible then first point marks the front, second point marks the back. Annotation format in pose dataset: class=0, x, y, w, h, px1, py1, px2, py2 Pose dataset contains total 400 frames of 8 beehives entrances. 50 frames per beehive.蜜蜂检测与分割数据集包含图像与标注目录。检测数据集包含7200帧图像。分割数据集包含2300张经过裁剪的蜜蜂图像，其标注采用三角形标记以用于方向向量估计。检测数据集与分割数据集的标注均以YOLO格式存储。图像分辨率为1920×1080，采集自8个不同蜂箱降落板上方30厘米处，采集时间为2023年6月至7月，采集地点为立陶宛。在第5版数据集中，检测数据集的标注已完成修正；同时新增了用于蜜蜂方向估计的姿态数据集目录。姿态数据集的标注同样采用YOLO格式。若蜜蜂完全可见，则第一个点[px1, py1]标记头部，第二个点[px2, py2]标记螫针；若仅可见蜜蜂局部，则第一个点标记前端，第二个点标记后端。姿态数据集的标注格式为：class=0, x, y, w, h, px1, py1, px2, py2。该姿态数据集共包含8个蜂箱入口的400帧图像，每个蜂箱对应50帧。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于蜜蜂检测和方向估计的标注数据集，包含检测数据集（7200帧）和分割数据集（2300张裁剪图像），标签采用YOLO格式，图像分辨率为1920x1080。数据集采集于2023年6月至7月立陶宛的8个蜂箱着陆板，新增的姿态数据集（400帧）专门用于蜜蜂方向估计，通过两点标注区分蜜蜂的头部和刺针或前端和后端。