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Visualize, compare, and optimize your YOLOv5 and YOLOv8 runs with Comet’s platform

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Easily track runs from any notebook, IDE, or script
  • Out of the box, Comet automatically logs metrics such as mAP, precision, recall, model hyperparameters, and more
  • Easily log custom data like YOLOv5 predictions, checkpoints, models and datasets
Leverage Comet’s powerful hyper-parameter optimizer
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Easily compare experiments and see why they’re different
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Upload your custom object detection datasets to track which model was trained on what data
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With automatic logging of 10+ popular ML frameworks, Comet’s platform makes it easy to track experiments, evaluate model performance and log model artifacts and datasets.

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An everyday application of YOLOv5

Kristen’s bus project leverages YOLOv5 to notify her family via text message just before the school bus arrives. Because of the unique route the bus takes, there’s about 5 minutes from when it’s detected to when the kids need to be at the stop. Follow along to see how she sets up the whole workflow from end to end.

Part 1 on setup
Part 2 on data labeling
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