This repo contains MATLAB code and dataset of the article
Md Abul Hayat, Jingxian Wu, and Yingli Cao, "Unsupervised Bayesian learning for rice panicle segmentation with UAV images", Plant Methods (accepted for publication), 2020.
Please contact Dr. Jingxian Wu wuj@uark.edu before using this dataset for any research purpose.
This dataset contains 12 images taken with Unmanned Areal Vehicle (UAV) at the Super Rice achievement Transformative Base (SRTB) of the Shenyang Agricultural University (SYAU) in northeastern China during 2017 and 2018. Filename of Image #1 starts with I1 and so forth for the following images. The filenames of the original images are ended with _UAV.jpg. The rice panicle in each image was manually labeled, and the corresponding manually labeled results of these 12 images have filenames ending with _MAN.jpg. This dataset can also be downloaded from here. Information of these 12 images in this dataset is listed as follows.
| Image | Distance | Resolution |
|---|---|---|
| I1 | 3m | 820 × 865 |
| I2 | 3m | 810 × 800 |
| I3 | 3m | 1050 × 1075 |
| I4 | 3m | 1050 × 1050 |
| I5 | 3m | 1080 × 1040 |
| I6 | 3m | 1120 × 1070 |
| I7 | 6m | 415 × 410 |
| I8 | 6m | 440 × 415 |
| I9 | 6m | 430 × 430 |
| I10 | 6m | 445 x 440 |
| I11 | 6m | 430 × 430 |
| I12 | 6m | 430 × 420 |
To be uploaded soon once the final review is complete. Please contact Dr. Jingxian Wu `wuj@uark.edu' if you have any question regarding the code or dataset.