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unet-damaged-flower-segmentation
subhanghuf/unet-damaged-flower-segmentation
unet-damaged-flower-segmentation is a image segmentation model from subhanghuf. Use it for the image segmentation task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Model U-Net untuk segmentasi area kerusakan pada bunga.
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Public
Updated Feb 28, 2026
Repo size
23.6 MB
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At a glance
- Task
- Image Segmentation
- License
- mit
- Access
- Public
- Created
- Feb 28, 2026
- Updated
- Feb 28, 2026
- SHA
- ec14d712
Model card
From the Hugging Face model README
U-Net - Damaged Flower Segmentation
Model U-Net untuk segmentasi area kerusakan pada bunga.
Dataset
Accurate Damaged Flower Shapes Segmentation (Kaggle)
Arsitektur
- Model: U-Net dengan 4 level encoder-decoder
- Input: 256×256×3 (RGB)
- Output: 256×256×1 (Binary mask)
- Loss: BCE + Dice Loss
Hasil Evaluasi
| Metrik | Score |
|---|---|
| Accuracy | 0.9998 |
| F1 Score | 0.0000 |
| IoU | 0.0000 |
| Dice | 0.0000 |
Penggunaan
from tensorflow.keras.models import load_model
import numpy as np
from PIL import Image
model = load_model('unet_flower_segmentation.h5', ...)
img = np.array(Image.open('bunga.jpg').resize((256, 256))) / 255.0
mask = model.predict(img[np.newaxis, ...])
- Task
- Image Segmentation
- License
- mit
- Created
- Feb 28, 2026
- Updated
- Feb 28, 2026