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 orina 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'. Informaiton of these 12 images in this dataset is listed as follows.

Image	Distance	Resolution

I1	3m 		820x865
I2	3m 		810x800  
I3	3m 		1050x1075  
I4	3m 		1050x1050  
I5	3m 		1080x1040  
I6	3m 		1120x1070 
I7	6m 		415x410 
I8	6m 		440x415 
I9	6m 		430x430 
I10	6m 		445x440
I11	6m 		430x430   
I12	6m 		430x420  

This dataset has been used in the article 'Unsupervised Bayesian Learning for Rice Panicle Segmentation with UAV Images'.