Datasets:
File size: 2,316 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: objects
struct:
- name: bbox
list:
list: float64
- name: categories
list:
class_label:
names:
'0': soybean_seedling
- name: plot_id
dtype: int32
- name: variety
dtype: string
- name: seeds_per_hole
dtype: int32
- name: sowing_density_seeds_per_ha
dtype: int32
- name: seedling_count
dtype: int32
- name: split
dtype: string
splits:
- name: train
num_bytes: 137406490
num_examples: 54
download_size: 137397307
dataset_size: 137406490
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: apache-2.0
task_categories:
- object-detection
size_categories:
- n<1K
---
# Mtl Plotcounter Soybean Detection
Plot-scale soybean seedling detection from UAV imagery of a 2023 breeding trial in Jinzhong, Shanxi, China. Two varieties (Dongdou 1 and Tiefeng 31) were sown at 1, 2 or 3 seeds per hole and at 120,000, 154,000 or 222,000 seeds per hectare in a factorial design with three replicates, giving 54 plots. A DJI Mavic 2 Pro flown at 5 m (0.1 cm per pixel) imaged the field after emergence; each plot was cut from the mosaic and zero-padded to 3072 x 6144 pixels. Because seedlings overlap heavily in the imagery, every seedling (5,932 in total, 55 to 211 per plot) was marked in the field on printed plot images and then boxed. Each row also carries the plot's variety, seeds per hole, sowing density and seedling count, and the split column keeps the authors' train/val/test assignment. The dataset contains 54 images with 5,932 bounding box annotations across 1 category.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
The original train/test/val split has been preserved in the `split` column.
## Citation
```bibtex
@article{xue2025mtl,
title={MTL-PlotCounter: Multitask Driven Soybean Seedling Counting at the Plot Scale Based on UAV Imagery},
author={Xue, Xiaoqin and Li, Chenfei and Liu, Zonglin and Sun, Yile and Li, Xuru and Song, Haiyan},
journal={Remote Sensing},
volume={17},
pages={2688},
year={2025},
publisher={MDPI}
}
```
*This dataset was reformatted from its original format to match HuggingFace standards.*
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