"Unlabeled Chili Plant Image Dataset at Early Growth Stages for Smart Agriculture Research"

"This dataset presents a collection of real-world images of chili plants captured during their early growth stages, primarily spanning the vegetative phase to the initial flowering stage. Notably, the dataset does not include fruit-bearing plants, as the focus is on pre-fruiting development. The images are collected under natural agricultural conditions, incorporating variations in lighting, background complexity, plant orientation, and environmental factors. The dataset is unlabeled, meaning that healthy and unhealthy plants are not explicitly categorized, which makes it particularly suitable for unsupervised, semi-supervised, and self-supervised learning approaches.This dataset can support a wide range of research in computer vision and smart agriculture, including plant growth monitoring, anomaly detection, feature extraction, and representation learning. It is especially valuable for developing models that do not rely on manual annotations, which are often costly and time-consuming to obtain. Furthermore, the dataset can serve as a pretraining resource for transfer learning in downstream tasks such as plant disease detection and classification. By providing diverse and realistic early-stage plant imagery, this dataset contributes to advancing data-driven agricultural research and intelligent farming solutions."