Project-AgML/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 https://project-agml.github.io/ as part of the AgML… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/YOLOPOD_Soyabean_Pod_Counting_Dataset.

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