unet-damaged-flower-segmentation – AI Model by subhanghuf | AlphaNeural AI

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subhanghuf/
unet-damaged-flower-segmentation

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image-segmentation

damage-detection

metavision/accurate-damaged-flower-shapessegmentation

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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

python

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, ...])