The dataset contains about 4000 images resized to 512x512. There are ~5000 fruit in total. Some images contain more than one fruit and thus more than one bounding box. The images are annotated using bounding boxes defined in a COCO format and each bounding box is tagged to one of three classes: fruit_healthy, fruit_brownspot and fruit_woodiness.
The images were collected from the Eastern, Western and Central regions of Uganda. The image capturing process involved guidance from National Crop Resources Research Institute (NaCRRI) passion fruit disease experts, who identified the disease manifestation in the fruits of passion fruit plants.
The objective of this challenge is to classify the disease status of a plant given an image of a passion fruit. You need to classify each fruit individually and not assume that all the fruit in the same image have the same status.
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