Tuta Absoluta Robotic Traps Dataset

This dataset focuses on enabling Tuta absoluta detection, necessitated annotated images. It was created as part of the H2020 PestNu project (No. 101037128) using the SpyFly AI-robotic trap from Agrorobotica. The SpyFly trap features a color camera (Svpro 13MP, sensor: Sony 1/3” IMX214) with a resolution of 3840 × 2880 for high-quality image capture. The camera was positioned 15 cm from the glue-paper to capture the entire adhesive board. In Total 217 images were captured. Expert agronomists annotated the images using Roboflow, labeling a total of 6787 T. absoluta insects, averaging 62.26 annotations per image. Images without insects were excluded, resulting in 109 annotated images, one per day. The dataset was split into training and validation subsets with an 80–20% ratio, leading to 87 images for training and 22 for validation. The dataset is organized into two main folders: “0_captured_dataset" contains the original 217 .jpg images. "1_annotated_dataset" includes the images and the annotated data, split into separate subfolders for training and validation. The Tuta absoluta count in each subset can be seen in the following table: Set Images Tuta Absoluta Instances Training 87 5344 Validation 22 1443 Total 109 6787