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Add Docs models JS charts (#18905)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Glenn Jocher 2025-01-26 20:01:56 +01:00 • committed by GitHub
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docs/en/models/yolov6.md
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@ -22,6 +22,11 @@ keywords: Meituan YOLOv6, object detection, real-time applications, BiC module,
## Performance Metrics
<script async src="https://cdn.jsdelivr.net/npm/chart.js@3.9.1/dist/chart.min.js"></script>
<script defer src="../../javascript/benchmark.js"></script>
<canvas id="modelComparisonChart" width="1024" height="400" active-models='["YOLOv6-3.0"]'></canvas>
YOLOv6 provides various pre-trained models with different scales:
- YOLOv6-N: 37.5% AP on COCO val2017 at 1187 FPS with NVIDIA T4 GPU.