Ultralytics YOLO

🌟 Summary Ultralytics v8.4.31 is a reliability-focused release that mainly fixes INT8 export calibration for non-square image sizes (the headline change), while also improving training stability, export maintainability, and documentation for deployment and dataset workflows 🚀 📊 Key Changes 🔥 Main update (PR #24028 by @Y-T-G): INT8 calibration now works correctly with non-square imgsz Fixes export calibration for commands like imgsz=640,480 with int8. Affects multiple export targets: OpenVINO, TFLite, TensorRT engine, and IMX. Calibration now uses the correct effective size and preserves rectangular shape during preprocessing (LetterBox behavior fixed). 🧩 Export system refactor (PR #23914 by @onuralpszr) Export logic was split from one large file into per-format utility modules (torchscript, openvino, coreml, ncnn, mnn, paddle, rknn, axelera, etc.). No major user-facing CLI change, but big internal cleanup for maintainability. 🍎 Apple Silicon stability improvement (PR #24038 by @Y-T-G) More aggressive memory clearing on MPS devices to reduce leak-related OOM issues during train/val. 📦 Better auto-batch with multi-scale (PR #24051 by @glenn-jocher) Auto batch-size estimation now accounts for larger effective image sizes when multi_scale is enabled. 📚 Docs and usability upgrades New COCO-to-YOLO conversion guide (PR #23930 by @raimbekovm). New YOLO26 training recipe guide (PR #23949 by @raimbekovm). Platform docs now clearly explain video inference support on dedicated endpoints (PR #24029 by @t-hakobyan). 🎥 🛠️ CI and environment robustness CI runner migration to ubuntu-latest and Codecov v6 updates. Added PyTorch 2.11.0 + Torchvision 0.26.0 slow-test coverage. EdgeTPU install command improved for non-interactive environments (--no-tty). ✅ Dataset conversion validation tightening (PR #24031 by @glenn-jocher) Non-classification NDJSON→YOLO conversion now expects a val split (instead of allowing test as substitute). 🎯 Purpose & Impact Most important impact: users exporting INT8 models with rectangular inputs should see far fewer calibration mismatches and export failures ✅ Deployment confidence improves across common edge/runtime formats (OpenVINO, TFLite, TensorRT, IMX) with non-square pipelines 📈 Training becomes more reliable on Apple Silicon and with multi-scale auto-batch settings 💪 Developer velocity increases thanks to cleaner export architecture, which should make future exporter fixes/features faster and safer 🧠 Onboarding gets easier through clearer guides (especially COCO conversion and YOLO26 training best practices), helping both new and advanced users get productive faster 📘✨ What's Changed Inference video support documentation by @t-hakobyan in https://github.com/ultralytics/ultralytics/pull/24029 Improve val availability in NDJSON to YAML by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/24031 Add COCO to YOLO conversion guide by @raimbekovm in https://github.com/ultralytics/ultralytics/pull/23930 Add YOLO26 training recipe guide by @raimbekovm in https://github.com/ultralytics/ultralytics/pull/23949 Add --no-tty flag for edgetpu_compiler installation by @Laughing-q in https://github.com/ultralytics/ultralytics/pull/24032 Bump codecov/codecov-action from 5 to 6 in /.github/workflows by @dependabot[bot] in https://github.com/ultralytics/ultralytics/pull/24034 Add PyTorch 2.11.0 to Slow Tests CI by @lakshanthad in https://github.com/ultralytics/ultralytics/pull/24035 refactor: split Exporter export methods into per-format utility modules by @onuralpszr in https://github.com/ultralytics/ultralytics/pull/23914 Migrate CI to ubuntu-latest by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/24049 Sync Platform embed card theme by @Y-T-G in https://github.com/ultralytics/ultralytics/pull/24048 Clear MPS memory more aggressively to prevent leak by @Y-T-G in https://github.com/ultralytics/ultralytics/pull/24038 Include multi_scale in auto-batch computation by @glenn-jocher in https://github.com/ultralytics/ultralytics/pull/24051 ultralytics 8.4.31 INT8 calibration with non-square imgsz by @Y-T-G in https://github.com/ultralytics/ultralytics/pull/24028 Full Changelog: https://github.com/ultralytics/ultralytics/compare/v8.4.30...v8.4.31