Replication Data for: An Efficient Solution for Semantic Segmentation of Three Ground-based Cloud datasets
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The SWIMSEG dataset, which includes 1013 cloud images, is divided into three parts according to the common practice: training set 911, testing set 51, validation set 51. The original dataset can be downloaded from http://vintage.winklerbros.net/swimseg.html. The BENCHMARK dataset includes 32 cloud images patches and corresponding cloud masks' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Divided SWIMSEG dataset"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The SWIMSEG dataset, which includes 1013 cloud images, is divided into three parts according to the common practice: training set 911, testing set 51, validation set 51. The original dataset can be downloaded from http://vintage.winklerbros.net/swimseg.html. The BENCHMARK dataset includes 32 cloud images patches and corresponding cloud masks' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The SWIMSEG dataset, which includes 1013 cloud images, is divided into three parts according to the common practice: training set 911, testing set 51, validation set 51. The original dataset can be downloaded from http://vintage.winklerbros.net/swimseg.html. The BENCHMARK dataset includes 32 cloud images patches and corresponding cloud masks
Divided SWIMSEG dataset