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Manga109 Segmentation Bubble

This repository contains a SafeTensors conversion of huyvux3005/manga109-segmentation-bubble for the Torch implementation in Koharu.

ArtOtherBasismodellhuyvux3005/manga109-segmentation-bubbleVersionRevision 4c9d7cbBBewertung

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Art
Other
Dateigröße
10,9 MB
Basismodell
huyvux3005/manga109-segmentation-bubble
Version
vRevision 4c9d7cb
Aktualisiert
10. Okt. 2026
Downloads
47
Quelle
Hugging Face

Quellenbeschreibung

Manga109 speech-bubble segmentation (SafeTensors)

This repository contains a SafeTensors conversion of huyvux3005/manga109-segmentation-bubble for the Torch implementation in Koharu.

  • Source revision: f9a4108c4955136a810e5e92207972f3fb3a65fd
  • Source best.pt SHA-256: 4028152940f7c910f40192f46ede3b3f6c7129e5c76849c324d3564f8ac50198
  • Ultralytics version recorded by the checkpoint: 8.3.227
  • Architecture: YOLO11n instance segmentation, one balloon class, 1600-pixel inference size

The conversion copies all EMA model tensors without quantization or dtype changes. PyTorch BatchNorm num_batches_tracked counters are omitted because they are not model parameters and are not used during inference.

The original model and this conversion are distributed under Apache-2.0.

Quellen

1 Quelle
Hugging FacePrimärVersion 4c9d7cbfa9905f7003677fa1130b48b93365a16a
huggingface.co/mayocream/manga109-segmentation-bubble/tree/4c9d7cbfa9905f7003677fa1130b48b93365a16a

Verifiziert 10. Okt.

Modellartefakte

1 Artefakt

model.safetensors

safetensors · 10,9 MB · SHA-256 a58cd1b5a12c…d5dd · Hugging Face

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--- license: apache-2.0 library_name: pytorch pipeline_tag: image-segmentation base_model: huyvux3005/manga109-segmentation-bubble tags: - safetensors - yolo - yolov11 - manga - speech-bubble - segmentation --- # Manga109 speech-bubble segmentation (SafeTensors) This repository contains a SafeTensors conversion of [`huyvux3005/manga109-segmentation-bubble`](https://huggingface.co/huyvux3005/manga109-segmentation-bubble) for the Torch implementation in Koharu. - Source revision: `f9a4108c4955136a810e5e92207972f3fb3a65fd` - Source `best.pt` SHA-256: `4028152940f7c910f40192f46ede3b3f6c7129e5c76849c324d3564f8ac50198` - Ultralytics version recorded by the checkpoint: `8.3.227` - Architecture: YOLO11n instance segmentation, one `balloon` class, 1600-pixel inference size The conversion copies all EMA model tensors without quantization or dtype changes. PyTorch BatchNorm `num_batches_tracked` counters are omitted because they are not model parameters and are not used during inference. The original model and this conversion are distributed under Apache-2.0.

Source context: 47 downloads · 0 likes · Pipeline image-segmentation · Library pytorch · Repo mayocream/manga109-segmentation-bubble

Source context: 33 downloads · 0 likes · Pipeline image-segmentation · Library pytorch · Repo mayocream/manga109-segmentation-bubble