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Kvasir Unet Scratch

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

TypeOtherVersionRevision f3cd397

Source du modèle

Type
Other
Taille du fichier
1,86 MB
Version
vRevision f3cd397
Mis à jour
27 sept. 2026
Téléchargements
12
Tâches
Segmentation d'image
Source
Hugging Face

Description de la source

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

Sources

1 source
Hugging FacePrincipalVersion f3cd397fe6739a5f43cf3c27dcb436615b3963a2
huggingface.co/Shushunya/kvasir-unet-scratch/tree/f3cd397fe6739a5f43cf3c27dcb436615b3963a2

Vérifié 27 sept.

Artefacts du modèle

1 artefact

model.safetensors

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

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Extraits de sources

2 extraits

--- 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