🌟 Summary Ultralytics v8.4.24 improves training reliability and clarity on Ultralytics Platform 🎯, while also aligning tuning defaults and docs with YOLO26 best practices 🚀. 📊 Key Changes (Most important) Better Platform training error surfacing 🛠️ Platform callback error handling now shows the actual server-side error message when available (instead of generic HTTP text). If a Platform training session fails to register, users now get a clearer message: "Training will not be tracked on Platform". After registration failure, Platform callbacks are disabled to avoid noisy follow-up errors. Version bump to 8.4.24 🔖 Package version updated from 8.4.23 to 8.4.24. Ray Tune search space updated to match modern YOLO26 ranges 📈 Important tuning ranges were corrected (like lr0, momentum, box, cls, scale). Added missing parameters such as dfl and close_mosaic. Docs/examples were synced so users tune with realistic defaults. YOLO26 naming adopted in Streamlit inference selector 🔄 Model options switched from yolo11* to yolo26* in the Streamlit solution UI. Rockchip RKNN docs refreshed with YOLO26 benchmarks 📘 Benchmark tables now reflect YOLO26 models and newer tested package versions. TF.js benchmarking disabled (temporary safeguard) ⚠️ TF.js export benchmarking is blocked due to a known protobuf dependency conflict, preventing confusing runtime failures. Platform docs and UX docs improvements 🧾 Clearer plan/GPU tier messaging (including Pro-only H200/B200 access). Added real screenshots to key Platform docs pages. Minor docs cleanup and formatting consistency fixes. 🎯 Purpose & Impact Faster troubleshooting for Platform users ✅ More precise error messages reduce guesswork and support time when training jobs fail. Cleaner failure behavior 🧹 Disabling callbacks after registration failure prevents repeated warning spam and gives a more stable user experience. Better model tuning outcomes 🎯 Updated Ray Tune ranges help users avoid outdated search spaces that could hurt accuracy, especially with YOLO26 workflows. Stronger consistency across product and docs 📚 YOLO26 naming, benchmark updates, and docs alignment make it easier for users to follow current recommended paths. Safer defaults for problematic integrations 🛡️ TF.js benchmark disablement avoids known dependency traps until upstream compatibility improves. What's Changed Fix Platform cloud deployments docs by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/23939 Missing screenshots placeholder updates by @t-hakobyan in https://github.com/ultralytics/ultralytics/pull/23932 Add UTM enabled banner redirect by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/23952 Update Rockchip RKNN benchmarks with YOLO26 by @lakshanthad in https://github.com/ultralytics/ultralytics/pull/23953 Migrate model prefixes from YOLO11 → YOLO26 by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/23954 docs: remove duplicate Dataset Tabs heading by @amanharshx in https://github.com/ultralytics/ultralytics/pull/23940 sync Ray Tune search space and docs with native tuner ranges by @raimbekovm in https://github.com/ultralytics/ultralytics/pull/23938 Scope class badges to reference section by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/23962 ultralytics 8.4.24 Improve Platform train error surfacing by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/23957 New Contributors @t-hakobyan made their first contribution in https://github.com/ultralytics/ultralytics/pull/23932 @amanharshx made their first contribution in https://github.com/ultralytics/ultralytics/pull/23940 Full Changelog: https://github.com/ultralytics/ultralytics/compare/v8.4.23...v8.4.24