A high-performance YOLO11n instance segmentation model fine-tuned for detecting and segmenting speech bubbles in manga/comic images. Left: Segmentation Loss (Train vs Val) | Right: Mask mAP Metrics over epochs This model was trained on a combined dataset of: 1. MS92/MangaSegmentation - Manga panel and bubble segmentation dataset 2. Manga109 - Large-scale manga dataset with speech bubble annotations If you use this model in your research, please cite: This model is released under the Apache 2.0 License. - Ultralytics for the YOLO framework - MS92/MangaSegmentation dataset - Manga109 dataset