| A wildlife conservation unmanned aerial vehicle (UAV) dataset derived from Mao et al.'s dataset WAID: Wildlife Aerial Images from Drone as introduced via their publication: "WAID: A Large-Scale Dataset for Wildlife Detection with Drones". | |
| This subset was trimmed down to 8,000 images while the train set set accomodates for 2,000 and the validation set is 4,000 images strong featuring a 2,000 image strong test split. This dataset was used for benchmarking YOLOv8 vs YOLOv9 in extremely data-sparse conditions. | |
| Note that the labels are in YOLO format, meaning the label files can be read as: class index, x_center, y_center, width, height. |