This is a pre-trained StyleGAN2-ADA network file stored as "rice_leaf_disease.pkl" that has already learned to generate synthetic images of four various rice leaf diseases namely; Bacterial blight, Tu
"The Dataset is captured using Mobile Camera using uncontrolled image acquisition conditions without any fixed lab setup. The dataset is prepared using data-centric approach and will be helpful to ass
The dataset is composed of 1176 images (folder "raw images") in which 6 food crops and 8 weed species are identified, altogether 7853 annotations were made in total. Three RGB digital cameras were use
The compressed file contains region of interest (ROI) images (256 x 256 px) for each species. Images were captured by a Raspberry Pi Zero W minicomputer (1 GHz Broadcom, BCM2835 processor, 512 MB RAM)
