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| Feature | Value |
|---|---|
| Base checkpoint | fancyfeast/joycaption-watermark-detection |
| Input size | 1280 × 1280 |
| Framework | PyTorch / Ultralytics YOLO11x |
pip install ultralytics opencv-python1from ultralytics import YOLO
2import cv2
3
4# Load model
5model = YOLO("corzent/yolo11x_watermark_detection")
6
7# Run inference
8results = model("test.jpg", conf=0.35)
9
10# Visualize
11annotated = results[0].plot()
12cv2.imwrite("result.jpg", annotated)yolo predict model=your-username/wm_yolo11_ft source="test.jpg" conf=0.3| Metric | Value |
|---|---|
| Precision | 0.896 |
| Recall | 0.883 |
| mAP@50 | 0.900 |
| mAP@50-95 | 0.686 |