it/datasets/segment/package-seg/ #19019
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👋 Hello, thank you for sharing this with the Ultralytics community 🚀! It’s great to see interest in exploring segmentation datasets like the Roboflow package-seg dataset for enhancing logistics and computer vision models. We recommend a visit to the Docs for comprehensive guidance on datasets, model training, and usage. For segmentation-specific use cases, the Segmentation task page might be particularly helpful. If your post is aimed at troubleshooting or poses a 🐛 Bug Report, kindly provide a minimum reproducible example for us, as this helps identify and address issues efficiently. For questions about custom dataset training and optimization ❓, details like dataset structure, training configurations, error logs (if any), and visual examples can make it easier to assist you. Check out our Model Training Tips for guidelines on achieving the best results. To connect with the broader Ultralytics community, you can join us on Discord 🎧 for real-time discussions, explore threads on our Discourse platform, or engage with our community on Reddit. Quick Environment SetupEnsure you're running the latest version of the pip install -U ultralytics Verified environments are highly recommended for seamless model training and inference. These include:
StatusOur CI tests continuously monitor the functionality of YOLO’s Modes and Tasks across macOS, Windows, and Ubuntu. 💡 Note: This is an automated response, but rest assured, an Ultralytics engineer will respond to your post soon to provide further assistance! 😊 |
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it/datasets/segment/package-seg/
Esplorate il dataset di segmentazione dei pacchi di Roboflow . Ottimizzate la logistica e migliorate i modelli di visione con immagini curate per l'identificazione e lo smistamento dei pacchi.
https://docs.ultralytics.com/it/datasets/segment/package-seg/
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