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ROS quickstart Docs page cleanup (#13835)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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14
docs/en/integrations/weights-biases.md
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@ -13,7 +13,7 @@ This guide showcases Ultralytics YOLOv8 integration with Weights & Biases' for e
## Weights & Biases
<p align="center">
<img width="640" src="https://docs.wandb.ai/assets/images/wandb_demo_experiments-4797af7fe7236d6c5c42adbdc93deb4c.gif" alt="Weights & Biases Overview">
<img width="800" src="https://docs.wandb.ai/assets/images/wandb_demo_experiments-4797af7fe7236d6c5c42adbdc93deb4c.gif" alt="Weights & Biases Overview">
</p>
[Weights & Biases](https://wandb.ai/site) is a cutting-edge MLOps platform designed for tracking, visualizing, and managing machine learning experiments. It features automatic logging of training metrics for full experiment reproducibility, an interactive UI for streamlined data analysis, and efficient model management tools for deploying across various environments.
@ -126,25 +126,19 @@ After running the usage code snippet, you can access the Weights & Biases (W&B)
## Key Features of the Weights & Biases Dashboard
- **Real-Time Metrics Tracking**: Observe metrics like loss, accuracy, and validation scores as they evolve during the training, offering immediate insights for model tuning.
<div style="text-align:center;"><blockquote class="imgur-embed-pub" lang="en" data-id="a/TB76U9O"><a href="//imgur.com/D6NVnmN">Take a look at how the experiments are tracked using Weights & Biases.</a></blockquote></div><script async src="//s.imgur.com/min/embed.js" charset="utf-8"></script>
- **Real-Time Metrics Tracking**: Observe metrics like loss, accuracy, and validation scores as they evolve during the training, offering immediate insights for model tuning. [See how experiments are tracked using Weights & Biases](https://imgur.com/D6NVnmN).
- **Hyperparameter Optimization**: Weights & Biases aids in fine-tuning critical parameters such as learning rate, batch size, and more, enhancing the performance of YOLOv8.
- **Comparative Analysis**: The platform allows side-by-side comparisons of different training runs, essential for assessing the impact of various model configurations.
- **Visualization of Training Progress**: Graphical representations of key metrics provide an intuitive understanding of the model's performance across epochs.
<div style="text-align:center;"><blockquote class="imgur-embed-pub" lang="en" data-id="a/kU5h7W4" data-context="false" ><a href="//imgur.com/a/kU5h7W4">Take a look at how Weights & Biases helps you visualize validation results.</a></blockquote></div><script async src="//s.imgur.com/min/embed.js" charset="utf-8"></script>
- **Visualization of Training Progress**: Graphical representations of key metrics provide an intuitive understanding of the model's performance across epochs. [See how Weights & Biases helps you visualize validation results](https://imgur.com/a/kU5h7W4).
- **Resource Monitoring**: Keep track of CPU, GPU, and memory usage to optimize the efficiency of the training process.
- **Model Artifacts Management**: Access and share model checkpoints, facilitating easy deployment and collaboration.
- **Viewing Inference Results with Image Overlay**: Visualize the prediction results on images using interactive overlays in Weights & Biases, providing a clear and detailed view of model performance on real-world data. For more detailed information on Weights & Biases' image overlay capabilities, check out this [link](https://docs.wandb.ai/guides/track/log/media#image-overlays).
<div style="text-align:center;"><blockquote class="imgur-embed-pub" lang="en" data-id="a/UTSiufs" data-context="false" ><a href="//imgur.com/a/UTSiufs">Take a look at how Weights & Biases' image overlays helps visualize model inferences.</a></blockquote></div><script async src="//s.imgur.com/min/embed.js" charset="utf-8"></script>
- **Viewing Inference Results with Image Overlay**: Visualize the prediction results on images using interactive overlays in Weights & Biases, providing a clear and detailed view of model performance on real-world data. For more detailed information on Weights & Biases' image overlay capabilities, check out this [link](https://docs.wandb.ai/guides/track/log/media#image-overlays). [See how Weights & Biases' image overlays helps visualize model inferences](https://imgur.com/a/UTSiufs).
By using these features, you can effectively track, analyze, and optimize your YOLOv8 model's training, ensuring the best possible performance and efficiency.