Comprehensive dataset of annotated rice panicle image from Bangladesh

Bangladesh's economy is primarily driven by the agriculture sector. Rice is one of the staple food of Bangladesh. The count of panicles per unit area serves as a widely used in-dicator for estimating rice yield, facilitating breeding efforts, and conducting phenotypic analysis. By calculating the num -ber of panicles within a given area, researchers and farmers can assess crop density, plant health, and prospective pro-duction. The conventional method of estimating rice yields in Bangladesh is time-consuming, inaccurate, and inefficient. To address the challenge of detecting rice panicles, this arti-cle provides a comprehensive dataset of annotated rice pan-icle images from Bangladesh. Data collection was done by a drone equipped with a 4 K resolution camera, and it took place on April 25, 2023, in Bonkhoria Gazipur, Bangladesh. During the day, the drone captured the rice field from var-ious heights and perspectives. After employing various im-age processing techniques for curation and annotation, the dataset was generated using images extracted from drone video clips, which were then annotated with information re-garding rice panicles. The dataset is the largest publicly ac-cessible collection of rice panicle images from Bangladesh, consisting of 2193 original images and 5701 augmented im-ages.(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )