{"ID":2893299,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.12727","arxiv_id":"2507.12727","title":"SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery","abstract":"Small object detection remains a challenging problem in the field of object detection. To address this challenge, we propose an enhanced YOLOv8-based model, SOD-YOLO. This model integrates an ASF mechanism in the neck to enhance multi-scale feature fusion, adds a Small Object Detection Layer (named P2) to provide higher-resolution feature maps for better small object detection, and employs Soft-NMS to refine confidence scores and retain true positives. Experimental results demonstrate that SOD-YOLO significantly improves detection performance, achieving a 36.1% increase in mAP$_{50:95}$ and 20.6% increase in mAP$_{50}$ on the VisDrone2019-DET dataset compared to the baseline model. These enhancements make SOD-YOLO a practical and efficient solution for small object detection in UAV imagery. Our source code, hyper-parameters, and model weights are available at https://github.com/iamwangxiaobai/SOD-YOLO.","short_abstract":"Small object detection remains a challenging problem in the field of object detection. To address this challenge, we propose an enhanced YOLOv8-based model, SOD-YOLO. This model integrates an ASF mechanism in the neck to enhance multi-scale feature fusion, adds a Small Object Detection Layer (named P2) to provide highe...","url_abs":"https://arxiv.org/abs/2507.12727","url_pdf":"https://arxiv.org/pdf/2507.12727v1","authors":"[\"Peijun Wang\",\"Jinhua Zhao\"]","published":"2025-07-17T02:04:54Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false,"code_links":[{"ID":612045,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2893299,"paper_url":"https://arxiv.org/abs/2507.12727","paper_title":"SOD-YOLO: Enhancing YOLO-Based Detection of Small Objects in UAV Imagery","repo_url":"https://github.com/iamwangxiaobai/SOD-YOLO","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}