ultralytics 8.4.32

v8.4.32 - `ultralytics 8.4.32` Expand Axelera exportable models and tasks (#23844)

on Python PyPI

🌟 Summary

v8.4.32 is mainly an Axelera AI export expansion release 🚀—it significantly improves how Ultralytics models (including more tasks) are exported and deployed on Axelera hardware, with supporting docs and usability updates across the Ultralytics ecosystem.

📊 Key Changes

• Major (Current PR #23844): Axelera export pipeline refactor and expansion 🧠⚙️

  • Axelera export logic was moved out of the main exporter into a dedicated utility module: ultralytics/utils/export/axelera.py.
  • Export flow now uses a reusable helper, exposed as torch2axelera (replacing older ONNX-centered flow), making the pipeline cleaner and easier to maintain.
  • Axelera export support was broadened beyond detection-only messaging to cover more YOLO task workflows across YOLOv8, YOLO11, and YOLO26 (with one key limitation: YOLO26 segmentation still requires Voyager SDK workaround).
  • Calibration defaults are now task-aware via new TASK2CALIBRATIONDATA, so exports pick better default calibration datasets automatically.
  • Export restrictions/checks were clarified (Linux support, ARM64 Docker exclusion, Torch 2.8+ requirement).

• Axelera runtime/backend improvements 🔌

  • Axelera backend dependency updated to newer runtime packages (axelera-rt / axelera-devkit 1.6.0rc3 path).
  • Backend now loads and optimizes .axm execution pipeline more directly.

• New practical examples for deployment 📁🎯

  • Added full Axelera Python examples for:
    • YOLO26 pose + tracking
    • YOLO11 segmentation
  • These show real end-to-end runtime pipelines without requiring Ultralytics at inference runtime.

• Documentation upgrades (large part of this release) 📚

  • Axelera integration docs were heavily updated: supported tasks table, Python version support (3.10/3.11/3.12), install steps, known limitations, and benchmark tables.
  • New reference docs added for the Axelera export utility.
  • Ultralytics Platform docs clarified:
    • Multi-task annotation persistence (switching task view does not delete other annotations) ✅
    • Dataset upload formats now clearly include .tar.gz / .tgz and NDJSON.
    • Plan-based dataset upload limits clarified: Free 10 GB, Pro 20 GB, Enterprise 50 GB.
  • Docs UI improvements: updated banner, chat widget bump, and table inline-code overlap fix.

🎯 Purpose & Impact

• For developers:

  • Cleaner architecture and reusable export utilities mean easier maintenance, fewer regressions, and faster iteration on Axelera support. 🛠️
  • Better task-aware calibration defaults reduce manual setup and export friction.

• For edge deployment users (Axelera):

  • More practical support for real workflows across YOLOv8/YOLO11/YOLO26 and multiple tasks improves confidence when moving from training to hardware deployment. 🚀
  • New example pipelines make it much easier to go from model export to production-style inference.

• For Ultralytics Platform users:

  • Clearer upload limits/formats and multi-task annotation behavior reduce confusion and accidental workflow mistakes. 📦
  • Better docs UX (chat/script/style/banner updates) improves day-to-day usability.

• Overall:

  • v8.4.32 is a deployment-focused quality release: the biggest value is stronger, more scalable Axelera integration plus clearer documentation that helps both advanced users and newcomers succeed faster. ✅

What's Changed

• Update chat.js v0.2.8 by @glenn-jocher in #24053
• Fix overlapping text with inline code in docs by @Y-T-G in #24054
• Add https://youtu.be/VHGfpOrPh-s to docs by @RizwanMunawar in #24055
• Add multi-task annotation storage documentation by @t-hakobyan in #24044
• 20GB and 50GB Pro and Enterprise docs updates by @glenn-jocher in #24057
• Tar.gz docs by @glenn-jocher in #24058
• Update docs banner by @raimbekovm in #24009
• ultralytics 8.4.32 Expand Axelera exportable models and tasks by @lakshanthad in #23844

Full Changelog: v8.4.31...v8.4.32