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Signed-off-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-08-30 05:52:10 +05:00 • committed by GitHub
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8
docs/en/integrations/comet.md
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@ -96,7 +96,7 @@ Let's dive into what you'll see on the Comet ML dashboard once your YOLOv8 model
The experiment panels section of the Comet ML dashboard organize and present the different runs and their metrics, such as segment mask loss, class loss, precision, and mean average precision.
<p align="center">
<img width="640" src="https://www.comet.com/site/wp-content/uploads/2023/07/1_I20ts7j995-D86-BvtWYaw.png" alt="Comet ML Overview">
<img width="640" src="https://github.com/ultralytics/docs/releases/download/0/comet-ml-dashboard-overview.avif" alt="Comet ML Overview">
</p>
**Metrics**
@ -104,7 +104,7 @@ The experiment panels section of the Comet ML dashboard organize and present the
In the metrics section, you have the option to examine the metrics in a tabular format as well, which is displayed in a dedicated pane as illustrated here.
<p align="center">
<img width="640" src="https://www.comet.com/site/wp-content/uploads/2023/07/1_FNAkQKq9o02wRRSCJh4gDw.png" alt="Comet ML Overview">
<img width="640" src="https://github.com/ultralytics/docs/releases/download/0/comet-ml-metrics-tabular.avif" alt="Comet ML Overview">
</p>
**Interactive Confusion Matrix**
@ -112,7 +112,7 @@ In the metrics section, you have the option to examine the metrics in a tabular
The confusion matrix, found in the Confusion Matrix tab, provides an interactive way to assess the model's classification accuracy. It details the correct and incorrect predictions, allowing you to understand the model's strengths and weaknesses.
<p align="center">
<img width="640" src="https://www.comet.com/site/wp-content/uploads/2023/07/1_h-Nf-tCm8HbsvVK0d6rTng-1500x768.png" alt="Comet ML Overview">
<img width="640" src="https://github.com/ultralytics/docs/releases/download/0/comet-ml-interactive-confusion-matrix.avif" alt="Comet ML Overview">
</p>
**System Metrics**
@ -120,7 +120,7 @@ The confusion matrix, found in the Confusion Matrix tab, provides an interactive
Comet ML logs system metrics to help identify any bottlenecks in the training process. It includes metrics such as GPU utilization, GPU memory usage, CPU utilization, and RAM usage. These are essential for monitoring the efficiency of resource usage during model training.
<p align="center">
<img width="640" src="https://www.comet.com/site/wp-content/uploads/2023/07/1_B7dmqqUMyOtyH9XsVMr58Q.png" alt="Comet ML Overview">
<img width="640" src="https://github.com/ultralytics/docs/releases/download/0/comet-ml-system-metrics.avif" alt="Comet ML Overview">
</p>
## Customizing Comet ML Logging