Update README.md

README.md

@@ -96,23 +96,6 @@ for box, score in zip(output["boxes"], output["scores"]):
     img[y1:y2, x1:x2] = cv2.GaussianBlur(img[y1:y2, x1:x2], (51, 51), 0)
 cv2.imwrite("anonymized.jpg", img)
 ```
-
-## Repository structure
-
-```text
-Faster-RCNN-Vision-ANN18/
-├── README.md              # this model card
-├── best_model.pth         # trained checkpoint
-├── models/                # model definition (Faster R-CNN + ResNet-50 FPN backbone)
-│   ├── __init__.py
-│   ├── backbone.py
-│   └── faster_rcnn.py
-├── examples/
-│   ├── inputs/            # original test images
-│   └── outputs/           # anonymized results
-└── assets/                # banner and illustration images
-```
-
 ## Intended use
 
 Research and privacy-oriented computer vision experiments: anonymizing license plates and house numbers in street-level imagery before storage or publication. Not intended for surveillance or for identifying individuals.