Dataset: 2019 train dataset (5-folds cv) + 2019 test dataset (public + private, divided into 5 and used different data each fold. ) Pseudo labels: weighted average of 1st-level models Ensemble Finally, averaged 2nd-level models' predictions. PublicLB: 0.826 PrivateLB: 0.930 Train 1st-level...
Dataset of 2019 APTOS Big Data Competition. 数据列表 数据名称上传日期大小下载 train.csv2022-01-2953.66KB test.csv2022-01-2924.48KB sample_submission.csv2022-01-2928.26KB test_images.zip2022-01-291.50GB train_images.zip2022-01-298.01GB
arrow_drop_up31 codeCode file_downloadDownload more_vert APTOS-2019 datasetThe APTOS-2019 dataset classified into training, validation and testing groups.Data CardCode (21)Discussion (1)Suggestions (1)Dataset Notebooks search filter_listFilters AllYour WorkShared With YouBookmarks Hotness ...
The Kaggle competition that introduced the dataset wrote: You are provided with a large set of retina images taken using fundus photography under a variety of imaging conditions. A clinician has rated each image for the severity of diabetic retinopathy on a scale of 0 to 4: 0 - No DR 1 ...
Dataset: 2019 train dataset (5-folds cv) + 2019 test dataset (public + private, divided into 5 and used different data each fold. ) Pseudo labels: weighted average of 1st-level models Ensemble Finally, averaged 2nd-level models' predictions. ...
The APTOS-2019 dataset classified into training, validation and testing groups.
View Active Events 4ui_iurz1· Updated6 years ago arrow_drop_up1 codeCode file_downloadDownload more_vert Data CardCode (5)Discussion (0)Suggestions (0) Dataset Notebooks search filter_listFilters AllYour WorkShared With YouBookmarks
Aptos2019 Dataset 4ui_iurz1· Updated6 years ago arrow_drop_up1 codeCode file_downloadDownload more_vert Aptos2019 Dataset Data CardCode (5)Discussion (0)Suggestions (0) Discussions search No discussions found
Dataset of 2019 APTOS Big Data Competition. 数据列表 数据名称上传日期大小下载 train.csv2022-01-2953.66KB test.csv2022-01-2924.48KB sample_submission.csv2022-01-2928.26KB test_images.zip2022-01-291.50GB train_images.zip2022-01-298.01GB
Dataset: 2019 train dataset (5-folds cv) + 2019 test dataset (public + private, divided into 5 and used different data each fold. ) Pseudo labels: weighted average of 1st-level models Ensemble Finally, averaged 2nd-level models' predictions. PublicLB: 0.826 PrivateLB: 0.930 Train 1st-level...