Zum Inhalt springen
ModelAufgelistetExtern
Herunterladen

Kvasir Unet Scratch

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

ArtOtherVersionRevision f3cd397

Modellquelle

Art
Other
Dateigröße
1,86 MB
Version
vRevision f3cd397
Aktualisiert
27. Sept. 2026
Downloads
12
Aufgaben
Bildsegmentierung
Quelle
Hugging Face

Quellenbeschreibung

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

Quellen

1 Quelle
Hugging FacePrimärVersion f3cd397fe6739a5f43cf3c27dcb436615b3963a2
huggingface.co/Shushunya/kvasir-unet-scratch/tree/f3cd397fe6739a5f43cf3c27dcb436615b3963a2

Verifiziert 27. Sept.

Modellartefakte

1 Artefakt

model.safetensors

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

Herunterladen

Quellenauszüge

2 Auszüge

--- 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