Defoliation Dataset Published by Zichen Zhang, Sami Khanal, and Christopher Stewart This dataset contains RGB images of crop fields growing soybean. The images have been labeled according to the degree of defoliation present in the image. Additional, labels can be added later. Importantly, this dataset is structured to support the OSU ICICLE Instistute Data and Model Commons. The Data Commons stores datasets and their metadata together to support download and sharing between researchers. The Model Commons allows interested parties to search for models that perform well on representative datasets for use in their domain. Organization: -- Subdirectory: RawData This subdirectory contains the collected images and labels. Here, these have been compressed into a Zip file. -- Subdirectory: Datasheet This subdirectory contains a YAML file describing salient qualitative characteristics of the dataset. See the Datasheets for Datasets paper for more details (https://arxiv.org/abs/1803.09010). As additional labels are added/identified for the dataset, more YAML files can be added here. -- Sub Directory: Summary This subdirectory contains a YAML file characterizing the results of models (machine learned or hand-crafted) that have been tested using the dataset. Again, more YAML files can be added as models grow. -- Subdirectory: Reference This subdirectory contains a YAML file with pointers to models that have been executed in the past. In some cases, the models may be saved to files in the rawmodels directory for convenience. When possible, we prefer to save models in Docker containers for easy reuse and fewer dependency concerns.