Tuta Absoluta Robotic Traps Dataset

<p>This dataset focuses on enabling Tuta absoluta detection, necessitated annotated images.&nbsp;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&rdquo; IMX214) with a resolution of 3840 &times; 2880 for high-quality image capture. The camera was positioned 15 cm from the glue-paper to capture the entire adhesive board.&nbsp;In Total 217 images were captured.</p> <p>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.</p> <p>The dataset was split into training and validation subsets with an 80&ndash;20% ratio, leading to 87 images for training and 22 for validation.&nbsp; The dataset is organized into two main folders: &ldquo;<em>0_captured_dataset</em>" contains the original 217 .jpg images. "<em>1_annotated_dataset</em>" 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:</p> <table> <tbody> <tr> <td><strong>Set</strong></td> <td><strong>Images</strong></td> <td><strong>Tuta Absoluta Instances</strong></td> </tr> <tr> <td>Training</td> <td>87</td> <td>5344</td> </tr> <tr> <td>Validation</td> <td>22</td> <td>1443</td> </tr> <tr> <td>Total</td> <td>109</td> <td>6787</td> </tr> </tbody> </table>