Dear all, In this competition , we face the challenge of dealing with labels, output variable, and a large number of images that are stored in separate files. The images are significantly more numerous than the labels, and we need a way to efficiently match the labels and output variables with the corresponding images. We have tried to make the things easy by developing new train data termed as 'complete_train.csv'. This file contains:
\nLabel coordinates
\nCorresponding image file paths
\nOutput variable
Having this consolidated data file will streamline further processing and analysis, making it easier to work with the dataset in subsequent stages of the project. This approach ensures that all necessary information is available in a single, organized format.
\nData file is available: https://www.kaggle.com/datasets/tariqcp/train-data-for-rsna-2024-lsdc
\nThe Notebook which performs this job and presents comprehensive information about the train data can be accessed at https://www.kaggle.com/code/tariqcp/single-train-file-digesting-train-dat
", "messages": [ { "id": "2824330", "postDate": "05/19/2024 18:10:02", "content": "Dear all, In this competition , we face the challenge of dealing with labels, output variable, and a large number of images that are stored in separate files. The images are significantly more numerous than the labels, and we need a way to efficiently match the labels and output variables with the corresponding images. We have tried to make the things easy by developing new train data termed as 'complete_train.csv'. This file contains:
\nLabel coordinates
\nCorresponding image file paths
\nOutput variable
Having this consolidated data file will streamline further processing and analysis, making it easier to work with the dataset in subsequent stages of the project. This approach ensures that all necessary information is available in a single, organized format.
\nData file is available: https://www.kaggle.com/datasets/tariqcp/train-data-for-rsna-2024-lsdc
\nThe Notebook which performs this job and presents comprehensive information about the train data can be accessed at https://www.kaggle.com/code/tariqcp/single-train-file-digesting-train-dat
", "rawMarkdown": "Dear all, In this competition , we face the challenge of dealing with labels, output variable, and a large number of images that are stored in separate files. The images are significantly more numerous than the labels, and we need a way to efficiently match the labels and output variables with the corresponding images. We have tried to make the things easy by developing new train data termed as 'complete_train.csv'. This file contains:\n\nLabel coordinates\nCorresponding image file paths\nOutput variable\n\nHaving this consolidated data file will streamline further processing and analysis, making it easier to work with the dataset in subsequent stages of the project. This approach ensures that all necessary information is available in a single, organized format.\n\n**Data file is available:** https://www.kaggle.com/datasets/tariqcp/train-data-for-rsna-2024-lsdc\n\n**The Notebook** which performs this job and presents comprehensive information about the train data can be accessed at https://www.kaggle.com/code/tariqcp/single-train-file-digesting-train-dat", "votes": null }, { "id": "2829836", "postDate": "05/22/2024 20:30:21", "content": "Thank you so much!! This truly simplifies the process.
", "rawMarkdown": "Thank you so much!! This truly simplifies the process.", "votes": null }, { "id": "2831460", "postDate": "05/23/2024 17:20:42", "content": "@khoatran311 Thanks for your support.
", "rawMarkdown": "khoatran311 Thanks for your support.", "votes": null }, { "id": "2858390", "postDate": "06/06/2024 13:22:55", "content": "Thank you!!!
", "rawMarkdown": "Thank you!!!", "votes": null }, { "id": "2865832", "postDate": "06/11/2024 03:04:56", "content": "Thanks for sharing valuable data and information
", "rawMarkdown": "Thanks for sharing valuable data and information", "votes": null } ], "comments": [ { "id": 2829836, "author_name": "khoatran311", "author_url": "", "post_date": "05/22/2024 20:30:21", "content": "Thank you so much!! This truly simplifies the process.
", "votes": null, "replies": [ { "id": 2831460, "author_name": "tariqcp", "author_url": "", "post_date": "05/23/2024 17:20:42", "content": "@khoatran311 Thanks for your support.
", "votes": null, "replies": [] } ] }, { "id": 2858390, "author_name": "pacesetter55", "author_url": "", "post_date": "06/06/2024 13:22:55", "content": "Thank you!!!
", "votes": null, "replies": [] }, { "id": 2865832, "author_name": "satyaprakashshukl", "author_url": "", "post_date": "06/11/2024 03:04:56", "content": "Thanks for sharing valuable data and information
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2824330": "Dear all, In this competition , we face the challenge of dealing with labels, output variable, and a large number of images that are stored in separate files. The images are significantly more numerous than the labels, and we need a way to efficiently match the labels and output variables with the corresponding images. We have tried to make the things easy by developing new train data termed as 'complete_train.csv'. This file contains:\n\nLabel coordinates\nCorresponding image file paths\nOutput variable\n\nHaving this consolidated data file will streamline further processing and analysis, making it easier to work with the dataset in subsequent stages of the project. This approach ensures that all necessary information is available in a single, organized format.\n\n**Data file is available:** https://www.kaggle.com/datasets/tariqcp/train-data-for-rsna-2024-lsdc\n\n**The Notebook** which performs this job and presents comprehensive information about the train data can be accessed at https://www.kaggle.com/code/tariqcp/single-train-file-digesting-train-dat", "2829836": "Thank you so much!! This truly simplifies the process.", "2831460": "khoatran311 Thanks for your support.", "2858390": "Thank you!!!", "2865832": "Thanks for sharing valuable data and information" }, "source": "meta" }