Update models/hub/*.yaml
files for v6.0n release
#5540
Merged
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Updates all extra YOLOv5 models in the models/hub directory to v6.0 release architecture.
🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
🌟 Summary
Upgraded YOLOv5 configurations to v6.0, introducing model structure enhancements and feature integrations.
📊 Key Changes
Focus
layers withConv
layers with updated arguments.C3
layers in backbone configurations.SPP
(Spatial Pyramid Pooling) layers with the more efficientSPPF
layers.C3TR
) layer configuration.🎯 Purpose & Impact
Focus
toConv
layers is expected to standardize the initial convolution process across various models.C3
layers might optimize computational efficiency without significantly affecting model accuracy.SPPF
should streamline spatial pyramid pooling while preserving feature diversity with reduced computational overhead.--test
) simplifies the process of verification for all model configurations, ensuring robustness before deployment.🛠️ Overall, the PR represents a stride towards evolving and optimizing the YOLOv5 architecture. Users might benefit from faster, sleeker, and possibly more accurate object detection in applications.