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Fedrs Imagefolder dataset by LiberiOnTerra
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Dataset

Fedrs Imagefolder

by LiberiOnTerra hf-dataset--liberionterra--fedrs-imagefolder
Nexus Index
32.0 Top 1%
P / V / C / U Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
Vital Performance
0 DL / 30D
0.0%

--- pretty_name: FedRS tags: - image - federated-learning - niid - classification language: - en task_categories: - image-classification size_categories: - 100K

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Data Integrity 32 FNI Score
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Dataset Information Summary
Entity Passport
Registry ID hf-dataset--liberionterra--fedrs-imagefolder
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__liberionterra__fedrs_imagefolder,
  author = {LiberiOnTerra},
  title = {Fedrs Imagefolder Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/LiberiOnTerra/FedRS-Imagefolder}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
LiberiOnTerra. (2026). Fedrs Imagefolder [Dataset]. Free2AITools. https://huggingface.co/datasets/LiberiOnTerra/FedRS-Imagefolder

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Full Specifications [+]

⚖ī¸ Nexus Index V16.5

Methodology Index Protocol
32.0
ESTIMATED IMPACT TIER
Popularity (P) 0
Freshness (F) 0
Completeness (C) 0
Utility (U) 0

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The Free2AITools Nexus Index for Fedrs Imagefolder aggregates Popularity (P:0), Freshness (F:0), and Completeness (C:0). The Utility score (U:0) represents deployment readiness and ecosystem adoption.

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Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
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Downloads
18,078
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Likes
1

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Dataset Specification

pretty_name: FedRS
tags:

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

please find parquet version at https://huggingface.co/datasets/LiberiOnTerra/FedRS

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.

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Social Proof

HuggingFace Hub
1Likes
18.1KDownloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
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AI Summary: Based on Hugging Face metadata. Not a recommendation.

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🆔 Identity & Source

id
hf-dataset--liberionterra--fedrs-imagefolder
source
huggingface
author
LiberiOnTerra
tags
task_categories:image-classificationlanguage:enlicense:mitsize_categories:100kmodality:imageregion:usimagefederated-learningniidclassification

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null

📊 Engagement & Metrics

likes
1
downloads
18,078

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)