Rokyuto
/

BanknotesRecognition

Image Classification

banknotes classification

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Rokyuto commited on 27 days ago

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1 Parent(s): 5b232da

Update README.md

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README.md +8 -8

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@@ -44,7 +44,7 @@ model-index:
 YOLO11m summary (fused): 303 layers, 20,037,742 parameters, 0 gradients, 67.7 GFLOPs
-| Class  | Images | Instances |  Box(P) |   R   | mAP50 | mAP50-95 |
 |--------|--------|-----------|---------|-------|-------|----------|
 | all    |  110   |   256     |  0.969  | 0.977 | 0.989 |  0.801   |
 | 5 BGN  |  10    |   35      |  0.969  |  0.9   | 0.975 |  0.712   |
@@ -59,13 +59,13 @@ YOLO11m summary (fused): 303 layers, 20,037,742 parameters, 0 gradients, 67.7 GF
 | 100 EUR|  10    |   23      |  0.97   |   1    | 0.995 |  0.675   |
 <div align="center">
-  <img width="60%" src="model_performance/results.png" alt="Results">
-  <img width="60%" src="model_performance/confusion_matrix_normalized.png" alt="Confusion Matrix Normalized">
-  <img width="60%" src="model_performance/labels.jpg" alt="Labels">
-  <img width="60%" src="model_performance/F1_curve.png" alt="F1 curve">
-  <img width="60%" src="model_performance/P_curve.png" alt="P curve">
-  <img width="60%" src="model_performance/R_curve.png" alt="R curve">
-  <img width="60%" src="model_performance/PR_curve.png" alt="PR curve">
 </div>

 YOLO11m summary (fused): 303 layers, 20,037,742 parameters, 0 gradients, 67.7 GFLOPs
+| Class  | Images | Instances |  Box(P) |   R   | mAP50 | mAP50-95) |
 |--------|--------|-----------|---------|-------|-------|----------|
 | all    |  110   |   256     |  0.969  | 0.977 | 0.989 |  0.801   |
 | 5 BGN  |  10    |   35      |  0.969  |  0.9   | 0.975 |  0.712   |
 | 100 EUR|  10    |   23      |  0.97   |   1    | 0.995 |  0.675   |
 <div align="center">
+  <img width="80%" src="model_performance/results.png" alt="Results">
+  <img width="80%" src="model_performance/confusion_matrix_normalized.png" alt="Confusion Matrix Normalized">
+  <img width="80%" src="model_performance/labels.jpg" alt="Labels">
+  <img width="80%" src="model_performance/F1_curve.png" alt="F1 curve">
+  <img width="80%" src="model_performance/P_curve.png" alt="P curve">
+  <img width="80%" src="model_performance/R_curve.png" alt="R curve">
+  <img width="80%" src="model_performance/PR_curve.png" alt="PR curve">
 </div>