🌟 Summary Ultralytics v8.4.34 is a tuning and stability-focused release 🚀, led by a major new feature: multi-dataset hyperparameter tuning in one run, plus several important reliability fixes and broad YOLO26 documentation updates. 📊 Key Changes 🧠 Major feature (PR #24067 by @Laughing-q): Multi-dataset hyperparameter tuning model.tune() now accepts data as either a single dataset or a list. During each tuning iteration, training runs across each dataset, then combines results. Fitness is averaged across datasets, so tuning decisions reflect overall performance, not just one dataset. Tests were updated to validate this workflow (coco8.yaml + coco8-grayscale.yaml). Version bumped to 8.4.34. 🛡️ Training resume stability fix (PR #24085 by @Y-T-G) Prevents loss spikes after resume on small datasets by keeping AdamW's exp_avg_sq state in FP32. Reduces risk of unstable training when loading checkpoints. 🔒 Thread-safe ONNX export (PR #24092 by @glenn-jocher) Added export locking so concurrent threads cannot collide in PyTorch's global ONNX exporter state. Includes a regression test for parallel export safety. ⚙️ Robustness fixes in core runtime DDP cleanup now safely handles command-generation failures (PR #24056 by @nameearly). AAttn fixed for non-divisible dim/num_heads cases to avoid shape/group crashes (PR #24114 by @ZoomZoneZero). crop_mask() now clamps negative coordinates before cropping for safer segmentation postprocessing (PR #24115 by @Y-T-G). draw_specific_kpts() now respects user-provided keypoint index order and handles missing confidence values safely (PR #24099 by @onuralpszr). 📚 Documentation and ecosystem refresh (many PRs) Large migration to YOLO26 references and fresh benchmarks across Jetson + SAM docs. Jetson setup improved with missing cuDSS dependency instructions for Torch 2.10.0 (PR #24081 by @lakshanthad). DeepStream version mapping/docs links corrected and expanded for newer JetPack versions (PRs #24141, #24142). Ultralytics Platform docs improved (Smart Annotation with SAM + YOLO, split redistribution UX, account settings clarity, banner/link updates). 🎯 Purpose & Impact Better real-world tuning quality 🎯 Multi-dataset tuning helps teams optimize one model for mixed or varied data domains (for example, color + grayscale, or multiple data sources), improving generalization and reducing overfitting to a single dataset. More reliable training and export workflows ✅ Resume training is more stable, distributed cleanup is safer, and ONNX export is more dependable in threaded environments—especially useful in production pipelines. Improved deployment and edge guidance 📱 Updated YOLO26 Jetson benchmarks and setup docs make edge deployment decisions more current and practical. Cleaner user experience in docs and platform onboarding ✨ Better Smart Annotation and dataset split guidance can reduce setup friction and speed up annotation/training workflows on the Ultralytics Platform. What's Changed Update NVIDIA Jetson AGX Orin benchmarks with YOLO26 by @lakshanthad in https://github.com/ultralytics/ultralytics/pull/24068 update SAM docs with YOLO26 references and fresh benchmarks by @raimbekovm in https://github.com/ultralytics/ultralytics/pull/24071 update SAM-2 docs with YOLO26 references and fresh benchmarks by @raimbekovm in https://github.com/ultralytics/ultralytics/pull/24072 update SAM-3 docs with YOLO26 references and correct model sizes by @raimbekovm in https://github.com/ultralytics/ultralytics/pull/24045 Add missing cuDSS package to JetPack 6 installation guide by @lakshanthad in https://github.com/ultralytics/ultralytics/pull/24081 Bump onnx from 1.20.0 to 1.21.0rc1 in /examples/RTDETR-ONNXRuntime-Python in the pip group across 1 directory by @dependabot[bot] in https://github.com/ultralytics/ultralytics/pull/24082 Remove redundant ray tune test by @Laughing-q in https://github.com/ultralytics/ultralytics/pull/24088 Docs: Redistribute Splits by @sergiuwaxmann in https://github.com/ultralytics/ultralytics/pull/24087 Document YOLO models in platform smart annotation by @laodouya in https://github.com/ultralytics/ultralytics/pull/24037 Docs: Update Banner by @sergiuwaxmann in https://github.com/ultralytics/ultralytics/pull/24090 Docs: Fix Banner Link by @sergiuwaxmann in https://github.com/ultralytics/ultralytics/pull/24091 Improve Platform Settings page tab docs and add screenshots by @yogendrasinghx in https://github.com/ultralytics/ultralytics/pull/24060 Fix loss explosion on resume when training on small dataset by @Y-T-G in https://github.com/ultralytics/ultralytics/pull/24085 Bump onnx from 1.21.0rc1 to 1.21.0 in /examples/RTDETR-ONNXRuntime-Python in the pip group across 1 directory by @dependabot[bot] in https://github.com/ultralytics/ultralytics/pull/24094 Fix Sentry bugs 2026-04-01 by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/24092 Prevent DDP resource cleanup issues when generate_ddp_command(self) r… by @nameearly in https://github.com/ultralytics/ultralytics/pull/24056 Add https://youtu.be/Y7cfNkqSdMg to docs by @RizwanMunawar in https://github.com/ultralytics/ultralytics/pull/24098 fix: 🐞 draw_specific_kpts to respect user-specified indices order by @onuralpszr in https://github.com/ultralytics/ultralytics/pull/24099 docs: update synk badge with working one by @onuralpszr in https://github.com/ultralytics/ultralytics/pull/24101 Update NVIDIA Jetson Orin NX 16GB benchmarks with YOLO26 by @lakshanthad in https://github.com/ultralytics/ultralytics/pull/24118 Clamp coordinates in crop_mask before cropping by @Y-T-G in https://github.com/ultralytics/ultralytics/pull/24115 Fix AAttn: resolve shape mismatches and crashes when dim is not divisible by num_heads by @ZoomZoneZero in https://github.com/ultralytics/ultralytics/pull/24114 Update NVIDIA Jetson Orin Nano Super benchmarks with YOLO26 by @lakshanthad in https://github.com/ultralytics/ultralytics/pull/24097 docs: update DeepStream 7.1 documentation link for JetPack 6.1 by @onuralpszr in https://github.com/ultralytics/ultralytics/pull/24141 docs: update DeepStream installation instructions for JetPack 7.1 to include DeepStream 9.0 by @onuralpszr in https://github.com/ultralytics/ultralytics/pull/24142 ultralytics 8.4.34 Multi-dataset support for hyperparameter tuning by @Laughing-q in https://github.com/ultralytics/ultralytics/pull/24067 New Contributors @yogendrasinghx made their first contribution in https://github.com/ultralytics/ultralytics/pull/24060 @ZoomZoneZero made their first contribution in https://github.com/ultralytics/ultralytics/pull/24114 @nameearly made their first contribution in https://github.com/ultralytics/ultralytics/pull/24056 @laodouya made their first contribution in https://github.com/ultralytics/ultralytics/pull/24037 Full Changelog: https://github.com/ultralytics/ultralytics/compare/v8.4.33...v8.4.34

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