From d96ea5b493ef6367e22f6c70f9dcb004c86b8342 Mon Sep 17 00:00:00 2001 From: Muhammad Rizwan Munawar Date: Sun, 11 Aug 2024 09:43:12 +0500 Subject: [PATCH] Add https://youtu.be/EeDd5P4eS6A to docs (#15107) --- docs/en/integrations/weights-biases.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/docs/en/integrations/weights-biases.md b/docs/en/integrations/weights-biases.md index ecd412c6..2e60e8a0 100644 --- a/docs/en/integrations/weights-biases.md +++ b/docs/en/integrations/weights-biases.md @@ -8,6 +8,17 @@ keywords: YOLOv8, Weights & Biases, model training, experiment tracking, Ultraly Object detection models like [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics) have become integral to many computer vision applications. However, training, evaluating, and deploying these complex models introduces several challenges. Tracking key training metrics, comparing model variants, analyzing model behavior, and detecting issues require substantial instrumentation and experiment management. +

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+ Watch: How to use Ultralytics YOLOv8 with Weights and Biases +

+ This guide showcases Ultralytics YOLOv8 integration with Weights & Biases' for enhanced experiment tracking, model-checkpointing, and visualization of model performance. It also includes instructions for setting up the integration, training, fine-tuning, and visualizing results using Weights & Biases' interactive features. ## Weights & Biases