Sunflower Growth Stage Image Dataset for Phenological Classification
Description
The Sunflower Growth Stage Image Dataset for Phenological Classification was collected from agricultural fields in Bangladesh, focusing on the identification and classification of sunflower growth stages. Images were captured directly in the field using a Redmi Note 11 smartphone, under natural daylight and varying weather conditions to reflect real-world environments. This dataset is meant to aid research in deep learning, computer vision, and plant phenology by providing data for automated classification of growth stages. A total of 1,255 original images were gathered, each with a high resolution of 12,288 × 16,320 pixels and approximately 25 MB in size. The images are divided into five classes: Stage1 (Young_Bud) with 238 images, Stage2 (Mature_Bud) with 272 images, Stage3 (Early_Bloom) with 218 images, Stage4 (Full_Bloom) with 213 images, and Stage5 (Wilted) with 314 images. To balance the dataset for training, each class was augmented to have 500 images, resulting in a final balanced collection of 2,500 images. Validation of the dataset was carried out by a Sub-Assistant Agriculture Officer from the Department of Agricultural Extension (DAE), Bangladesh, ensuring its reliability. The data was collected at two main sites: Daffodil International University (Ashulia Campus) and Model Town Nursery, Ashulia, Bangladesh. The camera used for capturing the images was a Redmi Note 11, with 24-bit color depth, an aperture of f/1.8, and images saved in JPEG format. Example metadata for an image shows it was taken on 2025-05-22 at 17:47 using the MediaTek Camera Application. The image’s dimensions are 12,288 × 16,320 pixels at 72 dpi with 24-bit sRGB color representation. The camera details include Xiaomi as the maker, model 23117RA86G, f-stop f/1.6, exposure time 1/100 sec, ISO 200, focal length 6 mm, and auto white balance. GPS coordinates recorded were Latitude 23.5247046, Longitude 90.1918097, Altitude 34.5 m. The image file example is named IMG_20250522_174724.jpg, is a JPEG of size 26.1 MB.