Track your YOLOv5 and YOLOv8 runs with Comet’s platform

Get automatic experiment tracking with tools to version datasets, debug and reproduce models, and visualize performance across training runs.

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

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

Identify which hyper-parameters are having the biggest impact on your performance
Generate a Model with full confidence that it is the best

Easily compare experiments and see why they’re different

Compare the impact of hyperparameters
Visualize bounding box predictions
Log interactive confusion matrices
Examine system metrics and source code

Upload your custom object detection datasets to track which model was trained on what data

Version your data to keep track of new data drops
See what experiments are using your data

Running a script with a Comet logger?

In seconds, grab your API key and start logging YOLOv5 and YOLOv8 runs.

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Comet is free to use forever

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.

Community

$0 free plan

Free forever
Personal use only
1 member
Unlimited Private and Public Projects
Model Registry
Rest API Access
100GB Storage Credits
Hyperparameter Search
Artifacts

Starter

$50 per user/month

All the features of Community and:

Up to 10 members
API Account
Dedicated Slack Channel (Guaranteed SLA)
500GB Storage credits

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Stay up to date with our documentation

We’ve updated our documentation to make it easy to find to implement your favorite libraries and tools.

Review YOLOv5 documentation

Comet integrates with popular ML Frameworks and tools

With Comet, you can log all your models and leverage visualization libraries like Shap and Matplotlib and store them with your models and datasets. All your data in one place.

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Expand your ML workflow with Comet

Whether you’re testing a model or building production-ready applications, Comet gives you full visibility of your ML workflows and helps you with reproducibility of all your models.

Experiment Management

Automatic experiment tracking and versioning

Artifacts

Save and track datasets from training runs to production

Model Registry

Save, track and document model changes

Model Production Monitoring

Visualize model performance at any scale for observability of the complete ML Lifecycle

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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