Model weights · YOLO11
Download YOLO11 weights
An anchor-free, single-pass detector that predicts objects in one shot across five vision tasks, giving a strong balance of speed and accuracy for everyday production use. Pick a size below and download the official .pt checkpoint in one click, with published accuracy, parameters and license all in view.
YOLO11 checkpoints, pick a size and download
An anchor-free, single-pass detector that predicts objects in one shot across five vision tasks, giving a strong balance of speed and accuracy for everyday production use.
| Model | COCO mAP | Params | Download |
|---|---|---|---|
YOLO11n yolo11n.pt | 39.5 | 2.6M | |
YOLO11s yolo11s.pt | 47.0 | 9.4M | |
YOLO11m yolo11m.pt | 51.5 | 20.1M | |
YOLO11l yolo11l.pt | 53.4 | 25.3M | |
YOLO11x yolo11x.pt | 54.7 | 56.9M |
Scores are COCO mAP at 640px, published by the authors. Weights host: github.com. Clicking Download verifies the file and starts it straight from the official CDN.
How to load YOLO11 weights
Install the Ultralytics package, then point the loader at the checkpoint. It downloads automatically on first use, or you can pass the local path to the file you downloaded above.
pip install ultralyticsfrom ultralytics import YOLO
# Downloads on first use, or pass a local path to your .pt file
model = YOLO("yolo11n.pt")
results = model("image.jpg")About YOLO11
YOLO11 is the mainstream Ultralytics model: anchor-free, well-documented, and supporting all five vision tasks. Its C3k2 blocks and C2PSA attention let YOLO11m match YOLOv8m accuracy with about 22% fewer parameters, which makes it the safe, best-supported default for most production work today.
- Author
- Ultralytics
- Released
- 2024
- Tasks
- Detect, Segment, Classify, Pose, OBB
- Framework
- Ultralytics (PyTorch)
- Input size
- 640px
- License
- AGPL-3.0
More model weights to download
Each page lists every checkpoint with accuracy, parameters, license and a one-click download.
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Frequently asked questions
- How do I download YOLO11 weights?
- Click the Download button next to any variant in the table above; we verify the file and start it straight from the official CDN. You can also let the loader fetch it automatically on first use with `model = YOLO("yolo11n.pt")`. All 5 YOLO11 checkpoints are hosted officially.
- Is YOLO11 free for commercial use?
- YOLO11 is released under AGPL-3.0. That is free for open-source and research; closed-source commercial deployments need an Ultralytics Enterprise license. Always confirm against the linked license text.
- Which YOLO11 model size should I use?
- Start with YOLO11n, the smallest and fastest, ideal for prototyping, edge and CPU. Move up the ladder only when you need more accuracy and have the compute for it. The largest variant reaches 54.7 COCO mAP.