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dronefreak
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visdrone-yolov8m

Object Detection
ultralytics
PyTorch
aerial-imagery
drone
visdrone
computer-vision
Model card Files
xet
 Community
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- license: apache-2.0
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  pipeline_tag: object-detection
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@@ -83,21 +83,35 @@ Metrics reported in this model card are computed on the VisDrone test set with g
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  | 8 | YOLOv8x | 36.81 | 21.52 | 51.91 | 39.78 |
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- | 9 | YOLOv10l | 35.95 | 21.09 | 52.13 | 38.48 |
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- | 10 | YOLOv9m | 36.19 | 20.95 | 51.05 | 39.12 |
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- | 11 | YOLOv8m | 34.39 | 19.95 | 48.18 | 38.2 |
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- | 12 | YOLOv8s | 31.95 | 18.24 | 45.99 | 35.49 |
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- | 13 | YOLOv8n | 28.18 | 15.77 | 40.86 | 31.81 |
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- | 14 | YOLOv11n | 27.59 | 15.46 | 39.58 | 31.74 |
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- | 15 | YOLOv10n | 27.65 | 15.32 | 41.02 | 31.68 |
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- | 16 | YOLOv26n | 26.73 | 14.64 | 38.6 | 31.14 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ license: agpl-3.0
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  pipeline_tag: object-detection
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  | 8 | YOLOv8x | 36.81 | 21.52 | 51.91 | 39.78 |
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+ | 9 | YOLOv26m | 36.67 | 21.22 | 51.03 | 39.79 |
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+ | 10 | YOLOv10l | 35.95 | 21.09 | 52.13 | 38.48 |
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+ | 11 | YOLOv11m | 36.35 | 21.02 | 50.24 | 39.46 |
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+ | 12 | YOLOv9m | 36.19 | 20.95 | 51.05 | 39.12 |
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+ | 13 | YOLOv8m | 34.39 | 19.95 | 48.18 | 38.2 |
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+ | 14 | YOLOv9s | 33.52 | 19.26 | 46.16 | 37.43 |
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+ | 15 | YOLOv11s | 32.3 | 18.47 | 45.49 | 35.31 |
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+ | 16 | YOLOv8s | 31.95 | 18.24 | 45.99 | 35.49 |
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+ | 17 | YOLOv26s | 32.1 | 18.06 | 45.75 | 35.05 |
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+ | 18 | YOLOv9t | 29.09 | 16.22 | 42.57 | 32.66 |
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+ | 19 | YOLOv8n | 28.18 | 15.77 | 40.86 | 31.81 |
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+ | 20 | YOLOv11n | 27.59 | 15.46 | 39.58 | 31.74 |
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+ | 21 | YOLOv10n | 27.65 | 15.32 | 41.02 | 31.68 |
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+ | 22 | YOLOv26n | 26.73 | 14.64 | 38.6 | 31.14 |
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+ | 23 | rt_detr_l | 21.68 | 9.34 | 35.76 | 26.3 |
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