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maco018/billboard-detection-Yolo11

sourceHugging Faceagpl-3.0updated 2y agoView on Hugging Face
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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

ModelPrecision (Epoch)Recall (Epoch)mAP50 (Epoch)mAP50-95 (Epoch)
YOLO_11n0.73613 (epoch: 66)0.67308 (epoch: 88)0.70351 (epoch: 87)0.43033 (epoch: 80)
YOLO_11s0.7225 (epoch: 98)0.67735 (epoch: 81)0.70855 (epoch: 76)0.43518 (epoch: 77)
YOLO_11m0.73249 (epoch: 80)0.6745 (epoch: 73)0.71053 (epoch: 87)0.43404 (epoch: 62)
YOLO_11l0.74729 (epoch: 98)0.68174 (epoch: 49)0.71778 (epoch: 75)0.44731 (epoch: 89)
YOLO_11x0.74299 (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