Speech Bubble Segmentation

A Candle-compatible SafeTensors conversion of kitsumed/yolov8m_seg-speech-bubble for locating and segmenting speech bubbles in comic and manga pages.

Model details

• Architecture: YOLOv8m-seg
• Input size: 640 × 640
• Class: speech bubble
• Mask prototypes: 192
• Mask coefficients: 32
• Default confidence threshold: 0.25
• Default NMS threshold: 0.45
• Default mask threshold: 0.5

Files and provenance

• model.safetensors: converted floating-point weights with the original Ultralytics tensor names
• config.json: loader, class, and postprocessing metadata
• config.yaml: original upstream dataset configuration
• Upstream revision: da4efccf35a15c8a8c2564431a4b7e121d3e0d99

Intended use and limitations

Use this model to produce speech-bubble masks for comic layout analysis, text placement, or rendering. It has one class and should not be treated as a general panel, character, or text detector. Validate thresholds and mask quality on the target comic style; training and evaluation artifacts are not included in this conversion.

License

GPL-3.0, matching this repository and the upstream model card.