euroSAT Classification
Collection
4 items
•
Updated
Model Trained Using AutoTrain
- Problem type: Image Classification
- https://github.com/phelber/EuroSAT
- https://paperswithcode.com/sota/image-classification-on-eurosat
Validation Metrics
loss: 0.05517553165555
f1_macro: 0.9845209837976402
f1_micro: 0.9851851851851852
f1_weighted: 0.9851564593493641
precision_macro: 0.985000529455036
precision_micro: 0.9851851851851852
precision_weighted: 0.985212909948894
recall_macro: 0.9841333333333333
recall_micro: 0.9851851851851852
recall_weighted: 0.9851851851851852
accuracy: 0.9851851851851852
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Model tree for uisikdag/autotrain-vit-base-patch16-224-euroSAT
Base model
google/vit-base-patch16-224