---
license: apache-2.0
datasets:
- prithivMLmods/Multilabel-GeoSceneNet-16K
library_name: transformers
---

```py
Classification Report:
                          precision    recall  f1-score   support

Buildings and Structures     0.8881    0.9498    0.9179      2190
                  Desert     0.9649    0.9480    0.9564      2000
             Forest Area     0.9807    0.9855    0.9831      2271
        Hill or Mountain     0.8616    0.8993    0.8800      2512
             Ice Glacier     0.9114    0.8382    0.8732      2404
            Sea or Ocean     0.9328    0.9525    0.9426      2274
             Street View     0.9476    0.9106    0.9287      2382

                accuracy                         0.9245     16033
               macro avg     0.9267    0.9263    0.9260     16033
            weighted avg     0.9253    0.9245    0.9244     16033
```

![download.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/Ld-vFb2MWg43wAG5pyFZb.png)