TFM泪膜破裂数据集

泪膜破裂视频帧,含帧分类、Placido环检测和破裂区分割,由Guangrong Wan et al.提供,来自GitHub数据库,包含6247条数据,适用于图像分割任务。

Guangrong Wan et al.Guangrong Wan et al.
GitHub
2025-01-01 更新
浏览 24
视频图像分割
TFM Tear Film Multi-task Dataset

基本信息

模态
视频
大小
0.007687 GB
数据量
6247
任务类型
图像分割
许可
GPL-3.0
创建/更新时间
2025-01-01
版本
main

资源简介

TFM泪膜破裂数据集

【数据集背景】

本数据集源站标题为《glory-wan/TF-Net》。源站首次发布:2025-10-06。

【数据内容】

源站原始描述:The official implementation of our paper : TFM Dataset: A Novel Multi-task Dataset and Integrated Pipeline for Automated Tear Film Break-Up Segmentation # TFM Dataset & Benchmark: Automated Tear Film Break-Up Analysis **📄 Paper:** *"TFM Dataset: A Novel Multi-task Dataset and Integrated Pipeline for Automated Tear Film Break-Up Segmentation"* **🏠 Project Page:** *[coming soon]* **📜 Paper (arXiv):** [arXiv:2510.05615 [cs.CV]]( This repository is the official implementation of our paper. We introd…

【获取与许可】

源站页面:https://github.com/glory-wan/TF-Net

使用许可:GPL-3.0。

【使用注意】

· 源站最后修改于 2025-10-22,引用时请注意版本时效。

官方服务

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⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取

git clone https://github.com/glory-wan/TF-Net.git

curl -L -o repo.zip https://github.com/glory-wan/TF-Net/archive/refs/heads/main.zip
unzip repo.zip

源站 README 摘录(使用方式)

Download

The TFM Dataset, comprising human ocular images, is a sensitive resource. To ensure ethical use and protect patient privacy, the dataset is made available only for non-commercial academic research purposes under a data use agreement. Access requires a brief application and approval.

Dataset acquisition

  1. Prepare an Application Email: Please send a formal request to the corresponding author, Prof. Jun Liu (junliu@cqupt.edu.cn), using the template below.

  2. Email Subject:

    Application for TFM Dataset Access - [Your Institution Name]

  3. Email Content Must Include:

    • Applicant’'s Full Name:
    • Your Title/Academic Role (e.g., PhD Student, Postdoc, Professor):
    • Institution/University:
    • Intended Research Purpose (Please provide a brief description of your project and how you plan to use the TFM Dataset):
    • Agreement to the License Terms: Explicitly state: “I have read and agree to abide by the terms of the DATASET_LICENSE.md, and confirm that the dataset will be used solely for non-commercial academic research.”
  4. Review and Approval: Upon receiving your application, we will review it promptly. If approved, you will receive the download links and passwords via email.

Dataset Structure

Once you have obtained access, the dataset structure in the cloud storage is as follows:

TFMDataset/
    ├── TFM-dataset/
    │    ├── images.zip
    │    └── labels.zip 
    └── TFM-crop/
         ├── crop_broken_only.zip
         ├── crop_full.zip
         └── crop_non_broken.zip

📜 License for Data: The TFM Dataset is available strictly for non-commercial research purposes. By applying for and downloading the dataset, you agree to be bound by the terms specified in the DATASET_LICENSE.md. Any violation of the license terms may result in revocation of access and other legal consequences.

完整仓库:github.com/glory-wan/TF-Net

数据缺失?

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