Manga109 Segmentation Bubble

--- license: apache-2.0 language: - en - ja tags: - yolo - yolov11 - ultralytics - manga - speech-bubble - segmentation - object-detection - computer-vision - image-segmentation datasets: - MS92/MangaSegmentation - manga109 pipeline_tag: image-segmentation library_name: ultralytics --- # 🎯 MangaLens - Manga Speech Bubble Segmentation <div align="center">     </div> A high-performance YOLO11n instance segmentation model fine-tuned for detecting and segmenting speech bubbles in manga/comic images. ## �️ Demo Results <div align="center"> | Detection on Various Manga Styles | |:--:| |  | | *Speech bubble detection on action manga with multiple bubbles* | |  | |:--:| | *Detection on slice-of-life manga style* | </div> ## �📊 Model Performance ### Final Evaluation Results (Epoch 44) | Metric | Box Detection | Mask Segmentation | |--------|---------------|-------------------| | **Precision** | 97.55% | 97.66% | | **Recall** | 97.03% | 97.15% | | **mAP@50** | 99.10% | 99.13% | | **mAP@50-95** | 96.67% | 94.69% | ### Training Curves <div align="center">  *Left: Segmentation Loss (Train vs Val) | Right: Mask mAP Metrics over epochs* </div> | Loss Type | Final Value | |-----------|-------------| | Box Loss | 0.2499 | | Segmentation Loss | 0.2762 | | Classification Loss | 0.2109 | | DFL Loss | 0.8064 | ## 🎓 Training Configuration | Parameter | Value | |-----------|-------| | Base Model | `yolo11n-seg.pt` | | Image Size | 1600×1600 | | Batch Size | 8 | | Epochs | 100 (Early stopped at 44) | | Optimizer | Auto (AdamW) | | Learning Rate | 0.01 | | Weight Decay | 0.0005 | | Patience | 10 | | AMP | Enabled | ### Data Augmentation - HSV Augmentation: H=0.015, S=0.7, V=0.4 - Mosaic: 1.0 - Flip Left-Right: 0.5 - Scale: 0.5 - Translate: 0.1 ## 📚 Training Data This model was trained on a combined dataset of: 1. **[MS92/MangaSegmentation](https://huggingface.co/datasets/MS92/MangaSegmentation)** - Manga panel and bubble segmentation dataset 2. **[Manga109](http://www.manga...