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- README.md +78 -3
- train/client_1/BareLand/BareLand_35.tif +3 -0
- train/client_67/Agriculture/Agriculture_46.tif +3 -0
- train/client_67/BareLand/BareLand_19.tif +3 -0
- train/client_67/BareLand/BareLand_54.tif +3 -0
- train/client_67/Forest/Forest_16.tif +3 -0
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- train/client_67/Forest/Forest_37.tif +3 -0
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- train/client_67/Forest/Forest_47.tif +3 -0
- train/client_67/Forest/Forest_9.tif +3 -0
- train/client_67/Residential/Residential_10.tif +3 -0
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- train/client_67/Residential/Residential_34.tif +3 -0
- train/client_67/Residential/Residential_38.tif +3 -0
- train/client_67/Residential/Residential_43.tif +3 -0
- train/client_67/Residential/Residential_46.tif +3 -0
- train/client_67/Residential/Residential_5.tif +3 -0
- train/client_67/River/River_0.tif +3 -0
- train/client_67/River/River_12.tif +3 -0
- train/client_67/River/River_14.tif +3 -0
- train/client_67/River/River_46.tif +3 -0
- train/client_67/River/River_52.tif +3 -0
- train/client_67/River/River_53.tif +3 -0
- train/client_67/River/River_54.tif +3 -0
- train/client_67/River/River_7.tif +3 -0
- train/client_8/BareLand/BareLand_10.tif +3 -0
- train/client_8/BareLand/BareLand_102.tif +3 -0
- train/client_8/BareLand/BareLand_18.tif +3 -0
- train/client_8/BareLand/BareLand_26.tif +3 -0
- train/client_8/BareLand/BareLand_28.tif +3 -0
- train/client_8/BareLand/BareLand_30.tif +3 -0
- train/client_8/BareLand/BareLand_35.tif +3 -0
- train/client_8/BareLand/BareLand_4.tif +3 -0
- train/client_8/BareLand/BareLand_56.tif +3 -0
- train/client_8/BareLand/BareLand_63.tif +3 -0
- train/client_8/BareLand/BareLand_64.tif +3 -0
- train/client_8/BareLand/BareLand_75.tif +3 -0
- train/client_8/BareLand/BareLand_77.tif +3 -0
- train/client_8/BareLand/BareLand_8.tif +3 -0
- train/client_8/BareLand/BareLand_89.tif +3 -0
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README.md
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# **Dataset README**
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## **1. General Information**
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**Number of Labels**: There are a total of 5 labels, namely: Agriculture, Bareland, Forest, Residential, and River.
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**Number of Clients**: The dataset consists of 100 clients.
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**Data Volume per Client**: Each client contains approximately 350 tif format images.
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## **2. Data Sources**
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All the images are collected from 6 different datasets, which are as follows:
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Eurosat
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UC Merced Land Use Dataset
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AID
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NWPU - RESISC45
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WHU-RS19
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NaSC-tg2
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The data from each dataset is distributed to different numbers of simulated clients. The specific distribution numbers are as follows:
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Data from the Eurosat dataset is distributed to 46 simulated clients.
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Data from the UC Merced Land Use Dataset is distributed to 2 simulated clients.
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Data from the AID dataset is distributed to 5 simulated clients.
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Data from the NWPU - RESISC45 dataset is distributed to 12 simulated clients.
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Data from the WHU-RS19 dataset is distributed to 1 simulated client.
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Data from the NaSC-tg2 dataset is distributed to 34 simulated clients.
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## **3. Data Folder Structure**
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The data folder is named "data", and its internal structure is as follows:
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```plaintext
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--data
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--train_set // Training set folder
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--client_0 // Client 0 folder
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--Agriculture // Folder for images of the Agriculture category
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--Bareland // Folder for images of the Bareland category
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--Forest // Folder for images of the Forest category
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--Residential // Folder for images of the Residential category
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--River // Folder for images of the River category
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--client_1 // Client 1 folder
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--Agriculture
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--Bareland
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--Forest
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--Residential
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--River
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--client_2 // Client 2 folder
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--Agriculture
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--Bareland
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--Forest
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--Residential
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--River
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......
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--client_99 // Client 99 folder
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--Agriculture
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--Bareland
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--Forest
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--Residential
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--River
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--val_set // Validation set folder
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--Agriculture // Folder for images of the Agriculture category (validation set)
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--Bareland // Folder for images of the Bareland category (validation set)
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--Forest // Folder for images of the Forest category (validation set)
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--Residential // Folder for images of the Residential category (validation set)
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--River // Folder for images of the River category (validation set)
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