Model weights · YOLOv5 (v5u)
Download YOLOv5 (v5u) weights
The anchor-free v5u retrain of the classic PyTorch YOLO, keeping its easy training and export while adopting the newer YOLOv8 detection head for better accuracy. Pick a size below and download the official .pt checkpoint in one click, with published accuracy, parameters and license all in view.
YOLOv5 (v5u) checkpoints, pick a size and download
The anchor-free v5u retrain of the classic PyTorch YOLO, keeping its easy training and export while adopting the newer YOLOv8 detection head for better accuracy.
| Model | COCO mAP | Params | Download |
|---|---|---|---|
YOLOv5nu yolov5nu.pt | 34.3 | 2.6M | |
YOLOv5su yolov5su.pt | 43.0 | 9.1M | |
YOLOv5mu yolov5mu.pt | 49.0 | 25.1M | |
YOLOv5lu yolov5lu.pt | 52.2 | 53.2M | |
YOLOv5xu yolov5xu.pt | 53.2 | 97.2M |
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 YOLOv5 (v5u) 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("yolov5nu.pt")
results = model("image.jpg")About YOLOv5 (v5u)
YOLOv5 made YOLO practical for everyone: pure PyTorch, easy training and export, and a huge deployment footprint that persists today. The download files below are the anchor-free YOLOv5u retrain, which adopts the YOLOv8 detection head for higher accuracy while keeping the familiar n/s/m/l/x ladder. The original anchor-based YOLOv5 releases remain available on the ultralytics/yolov5 repo.
- Author
- Ultralytics
- Released
- 2020
- Tasks
- Detect, Segment, Classify
- 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 YOLOv5 (v5u) 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("yolov5nu.pt")`. All 5 YOLOv5 (v5u) checkpoints are hosted officially.
- Is YOLOv5 (v5u) free for commercial use?
- YOLOv5 (v5u) 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 YOLOv5 (v5u) model size should I use?
- Start with YOLOv5nu, 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 53.2 COCO mAP.