Model: Adilbai/EuroSAT-Swin
Author: Adilbai
Pipeline: image-classification
Library: transformers
Tags: transformers, tensorboard, safetensors, swin, image-classification, satellite-imagery, eurosat, remote-sensing, transformer, swin-transformer, land-use-classification, synthetic-aperture-radar, sar, en, dataset:nielsr/eurosat-demo, dataset:eurosat, arxiv:1709.00029, base_model:microsoft/swin-base-patch4-window7-224, base_model:finetune:microsoft/swin-base-patch4-window7-224, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: microsoft/swin-base-patch4-window7-224
Card metadata: license: apache-2.0
base_model: microsoft/swin-base-patch4-window7-224
tags: image-classification, satellite-imagery, eurosat, remote-sensing, transformer, swin-transformer, land-use-classification, synthetic-aperture-radar, sar
datasets: nielsr/eurosat-demo, eurosat
metrics: accuracy, f1, precision, recall
library_name: transformers
pipeline_tag: image-classification
language: en
model_type: swin
inference: yes
widget: src: https://huggingface.co/datasets/nielsr/eurosat-demo/resolve/main/train/Forest/Forest_1.jpg
example_title: Forest, src: https://huggingface.co/datasets/nielsr/eurosat-demo/resolve/main/train/Industrial/Industrial_1.jpg
example_title: Industrial, src: https://huggingface.co/datasets/nielsr/eurosat-demo/resolve/main/train/Residential/Residential_1.jpg
example_title: Residential
model-index: name: EuroSAT-Swin
results: task: type: image-classification
name: Image Classification
dataset: type: eurosat
name: EuroSAT-SAR
split: test
metrics: type: accuracy
value: 0.95
name: Accuracy
verified: no, type: f1
value: 0.94
name: F1 Score
verified: no
Likes: 2 | All-time downloads: 179
Created: 2025-06-18 08:22:01