billhdzhao/FedRemoteSensing_Benchmark

Dataset README

1. General Information

Number of Labels: There are a total of 5 labels, namely: Agriculture, Bareland, Forest, Residential, and River.

Number of Clients: The dataset consists of 100 clients.

Data Volume per Client: Each client contains approximately 350 tif format images.

2. Data Sources

All the images are collected from 6 different datasets, which are as follows:

Eurosat

UC Merced Land Use Dataset

AID

NWPU - RESISC45

WHU-RS19

NaSC-tg2

The data from each dataset is distributed to different numbers of simulated clients. The specific distribution numbers are as follows:

Data from the Eurosat dataset is distributed to 46 simulated clients.

Data from the UC Merced Land Use Dataset is distributed to 2 simulated clients.

Data from the AID dataset is distributed to 5 simulated clients.

Data from the NWPU - RESISC45 dataset is distributed to 12 simulated clients.

Data from the WHU-RS19 dataset is distributed to 1 simulated client.

Data from the NaSC-tg2 dataset is distributed to 34 simulated clients.

3. Data Folder Structure

The data folder is named "data", and its internal structure is as follows:

--data
  --train_set  // Training set folder
    --client_0  // Client 0 folder
      --Agriculture  // Folder for images of the Agriculture category
      --Bareland  // Folder for images of the Bareland category
      --Forest  // Folder for images of the Forest category
      --Residential  // Folder for images of the Residential category
      --River  // Folder for images of the River category
    --client_1  // Client 1 folder
      --Agriculture
      --Bareland
      --Forest
      --Residential
      --River
    --client_2  // Client 2 folder
      --Agriculture
      --Bareland
      --Forest
      --Residential
      --River
    ......
    --client_99  // Client 99 folder
      --Agriculture
      --Bareland
      --Forest
      --Residential
      --River
  --val_set  // Validation set folder
    --Agriculture  // Folder for images of the Agriculture category (validation set)
    --Bareland  // Folder for images of the Bareland category (validation set)
    --Forest  // Folder for images of the Forest category (validation set)
    --Residential  // Folder for images of the Residential category (validation set)
    --River  // Folder for images of the River category (validation set)