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.