Labeled dataset for bee detection and direction estimation on beehive landing boards
Description
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. Pose directory 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. In version no. 6, the ramp detection dataset was added. It contains 156 images. Annotation format in ramp detection dataset: [class=0, x, y, w, h, px1, py1, px2, py2, px3, py3, px4, py4] Here, x, y, w, h are coordinates of the bounding boxes and px1, py1, px2, py2, px3, py3, px4, py4 are coordinates of 4 keypoints: 1 - top left, 2 - top right, 3 - bottom right, 4 - bottom left. The tracking and behavior datasets represent annotated MP4 files with tracks of bees during foraging, defense, fanning, and washboarding. It contains 17162 tracks, 21946 frames. The tracks and behavior are annotated only for the bees that are in the entrance zone. The bounding boxes are normalized to the width and height of the frame. Annotation format in tracking dataset: [frame-id, track-id, bb-left, bb-top, bb-width, bb-height]. Annotation format in behavior dataset: [frame-id, track-id, bb-left, bb-top, bb-width, bb-height, class-for, class-def, class-fan, class-wash]