pypi ultralytics 8.3.99
v8.3.99 - `ultralytics 8.3.99` New YOLOE Open-Vocabulary Models (#19775)

latest release: 8.3.100
3 days ago

🌟 Summary

The v8.3.99 release introduces YOLOE models, a groundbreaking addition to the YOLO family, enabling advanced open-vocabulary detection, segmentation, and visual/text prompt-based tasks. This update also includes enhancements to Docker compatibility, object tracking examples, repository mirroring workflows, and documentation improvements.

📊 Key Changes

  • YOLOE Model Integration: Added YOLOE models for open-vocabulary detection and segmentation, supporting text and visual prompts.
  • Prompt-Free Mode: Enabled training and inference without predefined prompts for broader application scenarios.
  • Visual Prompt Embedding (SAVPE): Introduced spatial-aware visual prompt embedding for enhanced feature extraction.
  • Docker Updates: Added Java Runtime Environment (JRE) and specific numpy version for Sony IMX model export compatibility.
  • Object Tracking Enhancements: Improved YOLO11 tracking examples to handle edge cases and enhance visualization.
  • Repository Mirroring: Streamlined GitHub-to-DagsHub mirroring workflow with manual triggering and improved flexibility.
  • Documentation Overhaul: Updated image links, dataset guidance, and training instructions for better clarity and usability.

🎯 Purpose & Impact

  • Enhanced Model Capabilities: YOLOE models expand YOLO's functionality to detect and segment objects beyond predefined categories, making it ideal for dynamic, real-world applications.
  • Broader Use Cases: Prompt-free mode and SAVPE enable YOLOE to adapt to diverse scenarios, from autonomous systems to creative AI tasks.
  • Improved Developer Experience: Docker updates simplify model export workflows, while tracking and documentation enhancements make implementation more robust and user-friendly.
  • Streamlined Repository Management: Automated mirroring ensures consistent updates across platforms, saving time and improving accessibility for developers.

This release significantly elevates YOLO's versatility and usability, catering to both cutting-edge research and practical deployment scenarios. 🚀

What's Changed

New Contributors

Full Changelog: v8.3.98...v8.3.99

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