Data

23 sessions of UAV images of a cotton field encompassing the 2021 growing season, captured with a DSLR camera mounted on a drone flying at low altitude. Bounding box annotations for all visible cotton flowers. 

Dataset of cotton plant images captured in the field with a tractor-mounted camera. Individual cotton flowers are annotated with bounding boxes in YOLO format.

Dataset of cotton plant videos captured in the field with ground vehicles. Individual cotton flowers are annotated with full tracking annotations in the YOLO format.

Videos of cotton seedlings in the field labeled with full tracking annotations.

This dataset contains cotton plant point clouds annotated for plant part segmentation.

Dataset of cotton plant point clouds generated using photogrammetry in the lab with semantic annotations for bolls and main stems.

Images of blueberry plants taken with a ground robot in the field, and labeled with annotations for each fruit.

Images of individual blueberry fruits divided into three classes based on maturity level.

Dataset of in-field blueberry images, with bounding box annotations provided for entire clusters.

Dataset of in-field blueberry images, with instance segmentation masks provided for individual fruits.

Cotton boll videos captured with a UGV and annotated with bounding boxes.

Dataset of blueberry images from various cultivars cut in half, with the bruised regions annotated with masks.

Dataset of images captured by the MARS robot in a defoliated cotton field using six synchronized cameras. The cameras are arranged to provide a complete view of the plots. Contains both real and synthetic images.