ModelListedExternal

Unet Damaged Flower Segmentation

Model U-Net untuk segmentasi area kerusakan pada bunga.

Sourcehuggingface.co/subhanghuf/unet-damaged-flower-segmentation/tree/ec14d712d7fe1a9f1f121cdf960b1cee4eccaa16

KindUNetVersionunet_flower_segmentation

Model source

Kind: UNet
File size: 22.6 MB
Version: vunet_flower_segmentation
Updated: Sep 27, 2026
Downloads: 0
Tasks: Image segmentation
Source: Hugging Face

Source description

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, ...])

Sources

1 source

Hugging FacePrimaryVersion ec14d712d7fe1a9f1f121cdf960b1cee4eccaa16

huggingface.co/subhanghuf/unet-damaged-flower-segmentation/tree/ec14d712d7fe1a9f1f121cdf960b1cee4eccaa16

Verified Sep 27

Model artifacts

1 artifact

unet_flower_segmentation.h5

h5 · 22.6 MB · SHA-256 ab36ed45cd7f…5b6a · Hugging Face

Download

Source excerpts

2 excerpts

ReadmeSep 27huggingface.co/subhanghuf/unet-damaged-flower-segmentation

--- license: mit tags: - image-segmentation - unet - tensorflow - flower - damage-detection datasets: - metavision/accurate-damaged-flower-shapessegmentation --- # 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, ...]) ```

NoteSep 27huggingface.co/subhanghuf/unet-damaged-flower-segmentation

Source context: 0 downloads · 0 likes · Pipeline image-segmentation · Repo subhanghuf/unet-damaged-flower-segmentation