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Kvasir Unet Scratch

This is a custom U-Net built from scratch for polyp segmentation in endoscopic images.

TipoOtherVersãoRevision f3cd397

Fonte do modelo

Tipo
Other
Tamanho do arquivo
1,86 MB
Versão
vRevision f3cd397
Atualizado
27 de set. de 2026
Downloads
12
Tarefas
Segmentação de imagem
Fonte
Hugging Face

Descrição da fonte

Kvasir-SEG Custom U-Net

This is a custom U-Net built from scratch for polyp segmentation in endoscopic images.

Model Details

  • Architecture: 4-layer U-Net with BatchNorm and Dropout2d.
  • Loss Function: Focal + Dice Loss (So the Network sees the small polyps)
  • Resolution: Trained on 256x256 images.
  • Data Augmentations: Spatial augmentations and color variation

Performance

  • Validation IoU: 0.463803

Fontes

1 fonte
Hugging FacePrimárioVersão f3cd397fe6739a5f43cf3c27dcb436615b3963a2
huggingface.co/Shushunya/kvasir-unet-scratch/tree/f3cd397fe6739a5f43cf3c27dcb436615b3963a2

Verificado 27 de set.

Artefatos de modelo

1 artefato

model.safetensors

safetensors · 1,86 MB · SHA-256 ef19e1e81c2e…3220 · Hugging Face

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Trechos de fonte

2 trechos

--- license: mit tags: - pytorch - image-segmentation - medical - kvasir-seg --- # Kvasir-SEG Custom U-Net This is a custom U-Net built from scratch for polyp segmentation in endoscopic images. ## Model Details * **Architecture:** 4-layer U-Net with BatchNorm and Dropout2d. * **Loss Function:** Focal + Dice Loss (So the Network sees the small polyps) * **Resolution:** Trained on 256x256 images. * **Data Augmentations:** Spatial augmentations and color variation ## Performance * **Validation IoU:** 0.463803

Source context: 12 downloads · 0 likes · Pipeline image-segmentation · Repo Shushunya/kvasir-unet-scratch