ultralytics 8.4.41

v8.4.41 - `ultralytics 8.4.41` Fix SAM3 FP ghost IDs in video tracking (#24249)

on Python PyPI

🌟 Summary

Ultralytics v8.4.41 focuses on a key SAM3 video tracking quality fix (fewer ghost IDs) plus a data pipeline reliability improvement for NDJSON datasets, with a large refresh of docs and Ultralytics Platform guidance 📈✨

📊 Key Changes

• 🎯 Major tracking fix (current PR, #24249 by @Y-T-G):

  • SAM3 tracking now enables masklet confirmation filtering by default to reduce false positive “ghost” object IDs.
  • Tracker keep-alive settings were tightened (init_trk_keep_alive and max_trk_keep_alive from 30 → 10), so stale tracks are removed faster.
  • Improved handling of unconfirmed IDs in single-frame inference output.

• 🗂️ Safer NDJSON dataset conversion (#24290 by @glenn-jocher):

  • Converted datasets now use hash-qualified output folders so concurrent jobs don’t overwrite each other’s cache.
  • Hashing ignores temporary signed-URL query strings, preventing unnecessary redownloads.
  • Better fallback behavior when class_names are missing (infers class count more robustly).

• 📚 Documentation and usability upgrades (multiple PRs):

  • New guides for:
    • Fine-tuning YOLO26 on custom data 🧠
    • NVIDIA DALI GPU preprocessing ⚡
    • Modal serverless quickstart ☁️
  • Clearer model-page notes on architecture-only YAMLs vs released pretrained weights.
  • Added docs for the cfg argument (yolo cfg=...) for reusable custom config files.
  • Broad refresh of Ultralytics Platform docs (account, API behavior, datasets, annotation, training, deployment).

• 🧪 CI benchmark stability updates (#24286):

  • Benchmark runners moved from ubuntu-latest to cpu-latest.
  • Slight OBB threshold adjustment to reduce flaky benchmark failures.

• 📦 Version bump: 8.4.40 → 8.4.41.

🎯 Purpose & Impact

• ✅ Better video tracking trustworthiness: Users working with SAM3 in video workflows should see fewer phantom tracks and cleaner ID continuity.
• 🚀 More responsive tracking behavior: Dead/stale objects are dropped sooner, improving real-time tracking quality.
• 🔒 More reliable data ops at scale: NDJSON conversion is safer for teams running parallel training jobs or repeated exports.
• 🧭 Lower onboarding friction: New docs make cloud training, deployment, fine-tuning, and advanced preprocessing easier for both new and experienced users.
• 🌐 Improved Platform clarity: Better alignment between docs and actual Ultralytics Platform behavior helps avoid confusion in production workflows.

What's Changed

• Clarify architecture-only yamls and historical framing on model pages by @raimbekovm in #24233
• Document cfg arg in configuration reference by @raimbekovm in #24212
• Add Modal Quickstart Guide by @raimbekovm in #23414
• Improve docs platform examples by @raimbekovm in #24006
• Add fine-tuning guide for YOLO on custom datasets by @raimbekovm in #24164
• Refresh platform docs by @glenn-jocher in #24281
• Add NVIDIA DALI GPU preprocessing guide by @raimbekovm in #24102
• Migrate benchmarks CI from ubuntu-latest to cpu-latest by @lakshanthad in #24286
• ultralytics 8.4.41 Avoid mutable NDJSON dataset cache collisions by @glenn-jocher in #24290
• ultralytics 8.4.41 Fix SAM3 FP ghost IDs in video tracking by @Y-T-G in #24249

Full Changelog: v8.4.40...v8.4.41