数据集获取

git clone https://github.com/IvisionLab/deep-dental-image.git

curl -L -o repo.zip https://github.com/IvisionLab/deep-dental-image/archive/refs/heads/master.zip
unzip repo.zip

源站 README 摘录（使用方式）

Deprecation Warning

Do not request this data set anymore. REQUESTS WILL BE IGNORED.
This data set has been deprecated in favor of a new, soon-to-be-released data set.

Deep instance segmentation of teeth in panoramic X-ray images

Mask R-CNN for instance segmentation of panoramic X-ray images

Code

Pyhon

Citation

JADER, G., FONTINELE J.; RUIZ, M; ABDALLA, K.; PITHON, M.; OLIVEIRA, L. Deep instance segmentation of teeth
in panoramic X-ray images. In: Conference on Graphics, Patterns and Images (SIBGRAPI), 2018.
<!## Request Dataset
Please send an e-mail to lrebouca@ufba.br to receive a link to the UFBA_UESB_DENTAL_IMAGES_DEEP dataset. Your e-mail must be sent from a valid institutional account, and include the following text (copy and paste the text below, filling the required fields):

"Subject: Request to download UFBA_UESB_DENTAL_IMAGES_DEEP dataset.

• Name: [your first and last name]
• Affiliation: [university where you work]
• Department: [your department]
• Current position: [your job title]
• E-mail: [must be the e-mail at the above mentioned institution]

I have read and agreed to follow the terms and conditions below:
The use of the UFBA_UESB_DENTAL_IMAGES_DEEP dataset is defined by the following conditions:

• This dataset is provided “AS IS”, without any express or implied warranty. Although every effort has been made to ensure accuracy, IvisionLab does not take any responsibility for errors or omissions;

• Without the expressed permission of IvisionLab, any of the following will be considered illegal: redistribution, modification, and commercial usage of this dataset in any way or form, either partially or in its entirety;

• All images in this dataset are only allowed for demonstration in academic publications and presentations;

This dataset will only be used for research purposes. I will not make any part of this dataset available to a third party. I’ll not sell any part of this dataset or make any profit from its use.

[your signature]"
 

P.S. A link to the dataset file will be sent as soon as possible.>

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

完整仓库：github.com/IvisionLab/deep-dental-image