Datasets:

KaraAgroAI
/

Drone-based-Agricultural-Dataset-for-Crop-Yield-Estimation

@@ -47,7 +47,8 @@ The dataset and the datasheet will be made publicly available. Any contribution
 Our datasets comply with the Findable, Accessible, InterOperable, and Reusable (FAIR) data principles. The datasets along with associated metadata (datasheets, annotation protocols, etc) have been uploaded to DataVerse, an open-source data repository. The datasets have been assigned a Digital Object Identifier (DOI), a permanent unique identifier to facilitate findability and accessibility. In addition, the dataset have been mirrored to local servers as a form of backup. The metadata is citable and includes domain-specific and file-level data that map to metadata standards within machine learning, computer vision, data analysis - geospatial and time series analysis to make it Interoperable. The metadata has been published and made available to provide a description of the datasets, data acquisition, preprocessing, and annotation procedures, envisaged use cases for our dataset, and any other information that supports understanding the context and composition of the data and ensure that they are reusable.
 Our datasets along with their associated metadata may be accessed and downloaded via this link : doi:10.57967/hf/0941
-Our dataset has been published under the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0). This licence gives anyone permission to use, copy, edit, transform and redistribute the dataset as they wish for any purpose, including use for commercial purposes. However, the user of this dataset is required to give appropriate credit by citing us as the source of the original dataset. An appropriate method for citation of this dataset has also been provided.

 Our datasets comply with the Findable, Accessible, InterOperable, and Reusable (FAIR) data principles. The datasets along with associated metadata (datasheets, annotation protocols, etc) have been uploaded to DataVerse, an open-source data repository. The datasets have been assigned a Digital Object Identifier (DOI), a permanent unique identifier to facilitate findability and accessibility. In addition, the dataset have been mirrored to local servers as a form of backup. The metadata is citable and includes domain-specific and file-level data that map to metadata standards within machine learning, computer vision, data analysis - geospatial and time series analysis to make it Interoperable. The metadata has been published and made available to provide a description of the datasets, data acquisition, preprocessing, and annotation procedures, envisaged use cases for our dataset, and any other information that supports understanding the context and composition of the data and ensure that they are reusable.
 Our datasets along with their associated metadata may be accessed and downloaded via this link : doi:10.57967/hf/0941
+Our dataset has been published under the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0).
+This licence gives anyone permission to use, copy, edit, transform and redistribute the dataset as they wish for any purpose, including use for commercial purposes. However, the user of this dataset is required to give appropriate credit by citing us as the source of the original dataset. An appropriate method for citation of this dataset has also been provided.