JNUSafflower

Description

The JNUSafflower dataset comprises labeled images of safflower variety leaves, cultivated and collected at the Rural Development Administration (RDA) in Jeonju, Republic of Korea. The camera system settings were adjusted following the methodology outlined by Yu et al. (2023) [30]. For imaging, an indoor studio (800 × 800 × 800 mm) was set up to minimize ambient light interference. An 18W white LED (5600K, CN-T96, Plastic, Korea) was used to ensure consistent illumination, preventing data distortion or damage from shadows. A custom-made white background plate was used to account for the color of the safflower leaves. The camera, a Canon EOS D200II (with an EF-S 18-55mm lens, Canon, Japan), features a 24.1-megapixel CMOS sensor. The initial camera settings were ISO 200, a focal length of 35mm, and an exposure time of 1/25. Due to the convex nature of the lens, which can cause image distortion (thicker in the center compared to the edges), we used the camera's built-in distortion correction function. The adjusted settings were ISO 100, a focal length of 18mm, and an exposure time of 1/13. The background was changed to black to contrast with the safflower leaves. Custom 3D panels were designed to accurately represent leaf size. Each panel included crop name tags, four grayscale calibration markers (10mm each), and a QR code to maintain consistent positioning (https://www.group8tech.com/gray-scale-calibration). Images were saved in JPG format with a resolution of 6024 × 4024 pixels. Safflower varieties were grown under controlled environmental conditions, including regulated temperature, irrigation, and fertilizer levels. The experiment took place in an experimental garden containing 43 safflower varieties, each randomly positioned in a greenhouse plot and labeled with a variety code. Six leaf samples were collected for each variety, with sampling conducted before and after the bloom stage throughout the growing season. Leaves were selected based on standardized criteria such as area, weight, and color.

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