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Kvasir Unet Scratch

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

TipoOtherVersiónRevision f3cd397

Fuente del modelo

Tipo
Other
Tamaño del archivo
1,86 MB
Versión
vRevision f3cd397
Actualizado
27 sept 2026
Descargas
12
Tareas
Segmentación de imágenes
Fuente
Hugging Face

Descripción de la fuente

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

Fuentes

1 fuente
Hugging FacePrincipalVersión f3cd397fe6739a5f43cf3c27dcb436615b3963a2
huggingface.co/Shushunya/kvasir-unet-scratch/tree/f3cd397fe6739a5f43cf3c27dcb436615b3963a2

Verificado 27 sept

Artefactos del modelo

1 artefacto

model.safetensors

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

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Extractos de fuentes

2 extractos

--- 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