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.
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