Ultralytics Assistant
Ultralytics Assistant
π Hello @soyeollee, thank you for reaching out to Ultralytics π! We appreciate you bringing your question about YOLOv11 coco augmentation to our attention. An Ultralytics engineer will review your...
π Hello @Lorsu, thank you for your interest in Ultralytics π! We recommend checking out the [Docs](https://docs.ultralytics.com) for guidance on various features, including model export, as many common questions or...
π Hello @AISoltani, thank you for your interest in Ultralytics π! We recommend checking out our [Docs](https://docs.ultralytics.com/) for detailed guidance on segmentation and exporting models. You can find relevant examples...
π Hello @liangjiegao, thank you for your interest in Ultralytics π! We recommend checking out the [Docs](https://docs.ultralytics.com) for guidance and examples, especially in the areas of [Python](https://docs.ultralytics.com/usage/python/) and [CLI](https://docs.ultralytics.com/usage/cli/) usage...
π Hello @LeRatierBretonnien, thank you for your question and interest in YOLOv5 π! To address your query about training YOLO with packed RGB(A) images, we would need additional details to...
π Hello @arbitropy, thanks for reporting this and for using Ultralytics π. This is an automated triage message to help move things forward quicklyβan Ultralytics engineer will also assist you...
π Hello @13501714030, thank you for reaching out to Ultralytics π! This is an automated response, and an Ultralytics engineer will assist you shortly. We recommend checking out the [Docs](https://docs.ultralytics.com)...
π Hello @massisenergy, thank you for reaching out and providing detailed logs and background info! π This is an automated response to help streamline your issueβan Ultralytics engineer will assist...
π Hello @RizwanMunawar, thank you for submitting a PR to the `ultralytics/ultralytics` π repository! This is an automated response to guide you through the review process. One of our engineers...
π Hello @B3R63R, thank you for your question about YOLOv8-cls validation and training loss discrepancies π! This is an automated response to guide you through some initial troubleshooting steps, and...