ultralytics 8.4.10

v8.4.10 - `ultralytics 8.4.10` YOLOE-26 default `agnostic_nms=True` (#23525)

on Python PyPI

🌟 Summary (single-line synopsis)

Ultralytics 8.4.10 improves YOLOE-26 out-of-the-box predictions by defaulting to class-agnostic NMS, plus several export, OpenVINO, HUB, SAM, and docs reliability upgrades 🚀🧠

📊 Key Changes

• 🧠 YOLOE-26 inference default change (most important): YOLOE predictions now default to agnostic_nms=True, reducing overlapping duplicate boxes across different classes (set in ultralytics/models/yolo/model.py).
• 📦 Version bump: 8.4.9 → 8.4.10.
• 🍏 CoreML export feature: CoreML export now correctly honors agnostic_nms (previously the argument existed but wasn’t applied in the CoreML NMS pipeline).
• ⚙️ TensorRT setup reliability: added check_tensorrt() helper and used it in export + tests to reduce missing-dependency failures; also adds special handling to pin compatible TensorRT on Jetson JetPack 7 / CUDA 13 ARM for RT-DETR exports.
• 🏎️ OpenVINO bugfix: fixes an UnboundLocalError risk by making the inference-mode check safe when dynamic is false.
• ☁️ Ultralytics HUB robustness: HUB session now raises clearer HUBModelError (instead of generic ValueError or silently returning None) when loading/creating HUB models fails.
• 🧩 SAM results metadata fix: improves how class names are generated (especially for single-object outputs and “visual” naming mode).
• 🛡️ Instances safety + debugging: avoids crashes when segments=None during zero-area filtering, and adds a helpful Instances.__repr__() for easier debugging.
• 📚 Docs improvements: YOLOE examples simplified to model.set_classes(["person", "bus"]) (no manual text embedding handling), ExecuTorch docs updated with YOLO26 benchmarks, and Benchmark docs video link refreshed.

🎯 Purpose & Impact

• 🎯 More consistent YOLOE predictions by default: class-agnostic NMS helps suppress duplicate overlapping detections across classes, improving “it just works” behavior for new users.
• ⚠️ Behavior change to expect: YOLOE outputs may differ vs. 8.4.9 (some boxes previously kept may now be suppressed). If you relied on per-class duplicates, explicitly set agnostic_nms=False.
• 🍏 More predictable exports across formats: CoreML now matches other exporters when agnostic_nms is enabled—fewer surprises when deploying to Apple devices.
• 🤖 Smoother Jetson/TensorRT experience: fewer export failures and less manual dependency wrangling, especially on newer Jetson stacks (JetPack 7).
• 🧯 Fewer runtime errors: OpenVINO, Instances filtering, HUB model handling, and SAM naming fixes reduce “random crash” scenarios and make failures easier to diagnose.
• 🧼 Cleaner onboarding + examples: YOLOE prompting is easier to copy/paste, and YOLO26 guidance in docs stays aligned with the recommended models.

You can update with: pip install -U ultralytics ⬆️✅

What's Changed

• fix: 🐞 Add requirement check for TensorRT in test_export_engine_matrix by @onuralpszr in #23496
• Add https://youtu.be/UF7pYdLSMng to docs by @RizwanMunawar in #23497
• Fix autobackend.py when using OpenVINO by @zboszor in #23505
• Force update tensorrt on CUDA 13 ARM to 10.15.x to fix a bug with RT-DETR exports by @lakshanthad in #23499
• Update executorch doc with YOLO26 benchmarks on Raspberry Pi 5 by @lakshanthad in #23500
• 🐞 fix remove_zero_area_boxes instance when segment is None by @Bovey0809 in #23495
• Add repr for Instance Class for devlopers who needs better debugging … by @Bovey0809 in #23473
• Update YOLOE docs example by @Laughing-q in #23526
• Remove debug asserts from TVP loss classes by @raimbekovm in #23523
• Improve HUB session error handling with HUBModelError by @ahmet-f-gumustas in #23512
• Fix names generation for single object detection in SAM3SemanticPredictor by @Y-T-G in #23513
• CoreML Export: Add Support for Class-Agnostic NMS by @K-saif in #23493
• ultralytics 8.4.10 YOLOE-26 default agnostic_nms=True by @Laughing-q in #23525

New Contributors

• @K-saif made their first contribution in #23493
• @zboszor made their first contribution in #23505

Full Changelog: v8.4.9...v8.4.10