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Remove extra html strings (#165)
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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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@glenn-jocher @UltralyticsAssistant
glenn-jocher and UltralyticsAssistant authored Jan 28, 2025
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2 changes: 0 additions & 2 deletions docs/en/compare/efficientdet-vs-rtdetr.md
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Expand Up @@ -8,8 +8,6 @@ keywords: EfficientDet,RTDETRv2,object detection,model comparison,Ultralytics,Yo

EfficientDet and RTDETRv2 are popular object detection models, each offering unique architectural and performance characteristics. This page provides a detailed technical comparison to help users understand their key differences and ideal applications.

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<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>

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2 changes: 0 additions & 2 deletions docs/en/compare/pp-yoloe-vs-yolov9.md
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Expand Up @@ -8,8 +8,6 @@ keywords: PP-YOLOE+, YOLOv9, object detection, model comparison, computer vision

When choosing a computer vision model for object detection, developers often face the dilemma of balancing accuracy, speed, and model size. This page provides a detailed technical comparison between two state-of-the-art models: PP-YOLOE+ and YOLOv9, both renowned for their efficiency and effectiveness in object detection tasks. We will delve into their architectural nuances, performance benchmarks, and ideal applications to help you make an informed decision.

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<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>

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2 changes: 0 additions & 2 deletions docs/en/compare/yolov10-vs-yolov6.md
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Expand Up @@ -8,8 +8,6 @@ keywords: YOLOv10, YOLOv6-3.0, object detection, model comparison, YOLO models,

This page provides a detailed technical comparison between two state-of-the-art object detection models: [YOLOv10](https://docs.ultralytics.com/models/yolov10/) and [YOLOv6](https://docs.ultralytics.com/models/yolov6/) 3.0. We analyze their architectures, performance metrics, and suitable use cases to help you choose the best model for your computer vision needs.

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<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>

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2 changes: 0 additions & 2 deletions docs/en/compare/yolov5-vs-yolov7.md
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Expand Up @@ -9,8 +9,6 @@ Ultralytics YOLO models are renowned for their speed and accuracy in object dete

Before diving into the specifics, here's a visual comparison of their performance:

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<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>

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2 changes: 0 additions & 2 deletions docs/en/compare/yolov6-vs-yolov7.md
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Expand Up @@ -8,8 +8,6 @@ keywords: YOLOv6-3.0, YOLOv7, object detection, model comparison, performance me

Below is a detailed technical comparison between Ultralytics YOLOv6-3.0 and YOLOv7, two popular models for object detection. This analysis highlights their architectural differences, performance metrics, and suitable use cases to help you choose the right model for your computer vision needs.

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<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>

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4 changes: 0 additions & 4 deletions docs/en/compare/yolov9-vs-efficientdet.md
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Expand Up @@ -8,8 +8,6 @@ keywords: YOLOv9, EfficientDet, object detection, model comparison, computer vis

Choosing the right object detection model is crucial for computer vision projects. This page provides a detailed technical comparison between YOLOv9 and EfficientDet, two popular models known for their efficiency and accuracy. We will explore their architectural differences, performance metrics, and ideal applications to help you make an informed decision.

html

<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>

Expand Down Expand Up @@ -115,8 +113,6 @@ keywords: YOLOv9, EfficientDet, object detection, model comparison, computer vis

Choosing the right object detection model is crucial for computer vision projects. This page provides a detailed technical comparison between YOLOv9 and EfficientDet, two popular models known for their efficiency and accuracy. We will explore their architectural differences, performance metrics, and ideal applications to help you make an informed decision.

html

<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>

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