ultralytics 8.4.27

v8.4.27 - `ultralytics 8.4.27` Improved Platform training integration (#24008)

on Python PyPI

🌟 Summary

Ultralytics v8.4.27 focuses on more reliable Ultralytics Platform training control (especially cancellation handling) ✅, plus several stability fixes for data conversion, postprocessing alignment, Paddle compatibility, and Docker runtime updates 🚀.

📊 Key Changes

• 🔴 Priority update (PR #24008 by @glenn-jocher): Improved Platform training integration

  • Added a new sanitizer to clean callback payloads before sending them to the Ultralytics Platform.
  • Non-JSON-safe float values are now converted safely, preventing callback encoding failures.
  • Centralized cancellation handling in one shared helper, replacing duplicated logic.
  • Applied this shared cancellation flow to both training startup and epoch-end callback paths.
  • Updated callback reference docs for the new helper functions.

• 🧩 COCO conversion robustness (PR #23998 by @raimbekovm)

  • Fixed convert_coco() crashes when annotations are missing or have empty keypoints/segmentation.
  • Keeps annotation lists in sync to avoid IndexError.

• 🎯 Coordinate/mask alignment fix (PR #23995 by @raimbekovm)

  • Updated pad rounding in scale_coords() and scale_masks() to match LetterBox behavior.
  • Reduces 1-pixel misalignment issues for pose/segmentation outputs.

• 🐼 Paddle dependency safety pin (PR #23997 by @Laughing-q)

  • Tightened PaddlePaddle requirements to <3.3.0 for export/inference paths to avoid known breakages.

• 🐳 Docker runtime refresh (PR #23991 by @glenn-jocher)

  • Base image upgraded to PyTorch 2.11.0 (CUDA 12.8, cuDNN 9 unchanged).

• 📚 Documentation discoverability (PR #23980 by @raimbekovm)

  • Added better cross-links to the YOLO26 End-to-End Detection guide from FAQ and argument docs.

🎯 Purpose & Impact

• More dependable Platform workflows 🛡️
  Fewer training tracking failures and more consistent cancellation behavior in cloud-managed runs on the Ultralytics Platform.

• Better training control UX ⏹️
  Cancel signals are handled more predictably, reducing confusion and wasted compute.

• Fewer dataset conversion interruptions 📦
  Users converting imperfect COCO labels are less likely to hit hard crashes.

• Cleaner prediction geometry 🖼️
  Improved coordinate/mask consistency helps downstream quality for segmentation and pose tasks.

• Safer dependency behavior ⚙️
  Paddle users are protected from problematic 3.3.x versions by default.

• Modernized container baseline 🚀
  Docker users get a newer PyTorch runtime with minimal GPU stack risk.

What's Changed

• Pin paddlepaddle<3.3.0 by @Laughing-q in #23997
• fix pad rounding in scale_coords and scale_masks to match LetterBox by @raimbekovm in #23995
• add end-to-end detection guide cross-links by @raimbekovm in #23980
• FROM pytorch/pytorch:2.11.0-cuda12.8-cudnn9-runtime by @glenn-jocher in #23991
• fix IndexError in convert_coco with missing keypoints or segmentation by @raimbekovm in #23998
• ultralytics 8.4.27 Improved Platform training integration by @glenn-jocher in #24008

Full Changelog: v8.4.26...v8.4.27