# Satellite Image Recognition
Swin Tiny Patch4 Window7 224 Finetuned Eurosat
Apache-2.0
A tiny image classification model based on the Swin Transformer architecture, fine-tuned on an image folder dataset
Image Classification
Transformers

S
lixiqi
19
0
Convnext Tiny 224 Finetuned Eurosat Albumentations
Apache-2.0
A fine-tuned image classification model based on ConvNeXt-Tiny architecture, achieving 98.15% accuracy on the EuroSAT dataset
Image Classification
Transformers

C
toshio19910306
18
0
Convnext Tiny 224 Finetuned Eurosat Albumentations
Apache-2.0
This model is a fine-tuned image classification model based on the ConvNeXt-Tiny architecture, trained on the EuroSAT dataset with albumentations for data augmentation, achieving 98.48% accuracy on the evaluation set.
Image Classification
Transformers

C
jypasona
18
0
Resnet 50 Finetuned Eurosat
Apache-2.0
An image classification model fine-tuned on an image folder dataset based on microsoft/resnet-50
Image Classification
Transformers

R
PKR
24
0
Swin Tiny Patch4 Window7 224 Finetuned Eurosat
Apache-2.0
A fine-tuned model based on Swin Transformer Tiny architecture for image classification tasks, achieving 100% accuracy on the evaluation set
Image Classification
Transformers

S
marvind434
17
0
Convnext Tiny 224 Finetuned Eurosat Albumentations
Apache-2.0
A fine-tuned model based on the ConvNeXt-Tiny architecture, optimized for image classification tasks, excelling on the EuroSAT dataset
Image Classification
Transformers

C
aihub007
20
0
Swin Tiny Patch4 Window7 224 Finetuned Eurosat
Apache-2.0
A vision model based on Swin Transformer Tiny architecture, fine-tuned on the EuroSAT dataset for image classification tasks
Image Classification
Transformers

S
schoenml
15
0
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