YOLOPOD_Soyabean_Pod_Counting_Dataset

YOLOPOD — YOLO Soybean Pod Object Detection Dataset A ground-level imagery dataset for soybean pod detection and counting. The dataset contains 1,448 images with 72,709 annotated pod instances (single class: pod). Images are collected from two field locations (Chongzhou and Renshou). Bounding boxes are in COCO format x, y, width, height . Split Images Annotations train 1,448 72,709 This dataset is indexed on as part of the AgML… See the full description on the dataset page: Soyabean Pod Counting Dataset.

Source: Hugging Face Hub (Project-AgML/YOLOPOD_Soyabean_Pod_Counting_Dataset). Metadata imported from the dataset’s Hub tags.