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ranzcr-clip-catheter-line-classification

数据集大小12.0 GB

更新时间2021-08-02 16:36:49

数据集标签
计算机视觉图像分类Kaggle文本

数据集路径

数据集无需解压和下载,可直接在代码中更改数据集路径使用

/datasets/ranzcr-clip-catheter-line-classification/

数据集简介

RANZCR CLiP - Catheter and Line Position Challenge:Classify the presence and correct placement of tubes on chest x-rays to save lives

数据集说明

In this competition, you’ll detect the presence and position of catheters and lines on chest x-rays. Use machine learning to train and test your model on 40,000 images to categorize a tube that is poorly placed. You will need the train and test images. This is a code-only competition so there is a hidden test set (approximately 4x larger, with ~14k images) as well. train.csv contains image IDs, binary labels, and patient IDs. TFRecords are available for both train and test. (They are also available for the hidden test set.) We've also included train_annotations.csv. These are segmentation annotations for training samples that have them. They are included solely as additional information for competitors. Files train.csv - contains image IDs, binary labels, and patient IDs. sample_submission.csv - a sample submission file in the correct format test - test images train - training images