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billboard-detection-Yolo11
maco018/billboard-detection-Yolo11
billboard-detection-Yolo11 is a object detection model from maco018. Use it when you need objects located in an image. It is set up for ultralytics. The card lists the license as agpl-3.0.
All of Ultralytics' Yolo V11 models model fined tuned for billboard detection using the Billboard dataset.
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At a glance
- Task
- Object Detection
- Library
- ultralytics
- License
- agpl-3.0
- Access
- Public
- Created
- Mar 11, 2025
- Updated
- Mar 24, 2025
- SHA
- cea77e88
Base models
Model card
From the Hugging Face model README
General description
All of Ultralytics' Yolo V11 models model fined tuned for billboard detection using the Billboard dataset.
This model was created with 100 epochs using CUDA 12.4 and Pytorch 2.6.0.
Best Metrics Comparison
| Model | Precision (Epoch) | Recall (Epoch) | mAP50 (Epoch) | mAP50-95 (Epoch) |
|---|---|---|---|---|
| YOLO_11n | 0.73613 (epoch: 66) | 0.67308 (epoch: 88) | 0.70351 (epoch: 87) | 0.43033 (epoch: 80) |
| YOLO_11s | 0.7225 (epoch: 98) | 0.67735 (epoch: 81) | 0.70855 (epoch: 76) | 0.43518 (epoch: 77) |
| YOLO_11m | 0.73249 (epoch: 80) | 0.6745 (epoch: 73) | 0.71053 (epoch: 87) | 0.43404 (epoch: 62) |
| YOLO_11l | 0.74729 (epoch: 98) | 0.68174 (epoch: 49) | 0.71778 (epoch: 75) | 0.44731 (epoch: 89) |
| YOLO_11x | 0.74299 (epoch: 94) | 0.6688 (epoch: 80) | 0.7113 (epoch: 60) | 0.4437 (epoch: 89) |
Further results can be found in Results Folder.
Created by Mark Colley - supported by Zefwih
- Task
- Object Detection
- Library
- ultralytics
- License
- agpl-3.0
- Created
- Mar 11, 2025
- Updated
- Mar 24, 2025