Datasets:

LiberiOnTerra
/

FedRS-Imagefolder

language:
  - en
license: mit
size_categories:
  - 100K<n<1M
task_categories:
  - image-classification
pretty_name: FedRS
tags:
  - image
  - federated-learning
  - niid
  - classification
dataset_size: 104914
homepage: https://huggingface.co/datasets/LiberiOnTerra/FedRS
configs:
  - config_name: FedRS
    data_files:
      - split: train_NIID_1
        path: FedRS/NIID-1/**/*.jpg
      - split: train_NIID2
        path: FedRS/NIID-2/**/*.jpg
      - split: val_balanced
        path: FedRS/val_balanced/**/*.jpg
      - split: val_imbalanced
        path: FedRS/val_imbalanced/**/*.jpg
    features:
      - name: image
        dtype: image
      - name: label
        dtype: string
  - config_name: FedRS_5
    data_files:
      - split: train_NIID_1
        path: FedRS-5/NIID-1/**/*.jpg
      - split: train_NIID2
        path: FedRS-5/NIID-2/**/*.jpg
      - split: val_balanced
        path: FedRS-5/val_balanced/**/*.jpg
      - split: val_imbalanced
        path: FedRS-5/val_imbalanced/**/*.jpg
    features:
      - name: image
        dtype: image
      - name: label
        dtype: string

FedRS

This dataset is based on the paper FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing.

we obtain 135 clients in total. Among these clients, EuroSAT contributes 45 clients, AID 15 clients, RSD46-WHU 35 clients, NaSC-TG2 34 clients, NWPU-RESISC45 12 clients, AID 5 clients, UCM 2 clients and the remaining 2 clients are from WHU-RS19 and OPTIMAL-31. Each client has a non-overlapping subset of the data. The number of images per client ranges widely, from as few as 114 to 1559, mirroring the unbalanced nature of real federated data.