ultralytics 8.4.35

v8.4.35 - `ultralytics 8.4.35` NaN training recovery and dataset cache improvements (#24154)

on Python PyPI

🌟 Summary

Ultralytics v8.4.35 is a stability-focused release that makes training recovery smarter, dataset caching safer, and inference/runtime behavior more reliable—especially when runs hit NaNs or dataset metadata is inconsistent. 🚀🛡️

📊 Key Changes

• NaN training recovery improved (most important, PR #24154 by @glenn-jocher) 🔁

  • Training now recovers from last_good.pt instead of retrying a potentially corrupted last.pt.
  • Checkpoint saves are now skipped if EMA weights contain NaN/Inf, preventing bad checkpoints from propagating.

• Detection dataset cache reliability upgrades (PR #24154) 🗂️

  • Empty detection caches are no longer written.
  • When labels are corrupt, final errors now include clearer reasons (instead of vague failures).
  • Detection dataset checks now accept a dataset directory directly (not only a YAML path).
  • NDJSON-to-YOLO cached conversions are rebuilt when expected split folders are missing.

• Cleaner logs during runs (PR #24154) 🔕

  • Repeated Platform: Model not found warnings are throttled to reduce noise.

• OpenVINO robustness improvements (PR #24156 by @glenn-jocher) ⚙️

  • Better device fallback logic (uses CPU fallback more safely when needed).
  • On Linux ARM64 CPU, inference is forced to FP32 for improved compatibility/stability.

• Training behavior and compatibility fixes

  • Prevents duplicate pretrained weight loading for YAML-based training configs (PR #23640).
  • W&B resume now continues the original run instead of creating a disconnected new one (PR #24110).
  • Added backward compatibility for older YOLO12 Area Attention checkpoints (PR #24152).
  • Added missing isatty() in console capture wrapper to avoid crashes with some libraries like transformers (PR #24143).
  • SAM3 decoder cache-miss dtype fix to prevent coordinate-generation errors (PR #24145).

• Docs and ecosystem updates 📚

  • FastSAM/MobileSAM docs refreshed with YOLO26 benchmark context and clearer reproducibility notes (PR #24140).
  • SAHI YOLO26 tiled inference docs simplified and modernized (PR #24133).
  • Legacy docs now better direct users toward YOLO26 as current recommended model line (PR #24139).

🎯 Purpose & Impact

• Fewer failed long trainings ⏱️
  If your run encounters NaNs, recovery is now more trustworthy, reducing wasted GPU time and repeated crash loops.

• Less dataset-debug frustration 🧪
  Better cache validation + clearer corrupt-label messages make it faster to diagnose data issues.

• More predictable production behavior 🏭
  OpenVINO and logging adjustments improve runtime stability on edge/ARM setups and reduce noisy warnings.

• Smoother experiment tracking and resuming 📈
  W&B resume continuity helps keep metrics in one place, improving experiment history quality.

• Low-risk upgrade with practical benefits ✅
  This release is mostly about reliability and developer experience rather than new model architectures—great for teams running frequent training/inference pipelines.

What's Changed

• Fix cache miss handling for coordinate retrieval by @ausk in #24145
• update FastSAM and MobileSAM docs with YOLO26 benchmarks by @raimbekovm in #24140
• Add missing type hints to segment2box and scale_boxes in utils/ops.py by @ahmet-f-gumustas in #24127
• Fix outdated YAML.dump usage in benchmark.py by @Laughing-q in #24146
• update outdated model references to YOLO26 by @raimbekovm in #24139
• Update YOLO26 sahi tiled inference code by @RizwanMunawar in #24133
• Add missing isatty() to _ConsoleCapture stream wrapper by @fcakyon in #24143
• Fix duplicate pretrained weight loading in Model.train() for YAML models by @artest08 in #23640
• Resume WandB run when training resumes by @artest08 in #24110
• Force OpenVINO ARM inference to FP32 by @glenn-jocher in #24156
• Fix YOLO12 forward pass with old checkpoints by @Y-T-G in #24152
• ultralytics 8.4.35 NaN training recovery and dataset cache improvements by @glenn-jocher in #24154

New Contributors

• @ausk made their first contribution in #24145

Full Changelog: v8.4.34...v8.4.35