Model weights · YOLOv10
Download YOLOv10 weights
The first widely used YOLO that skips the NMS post-processing step, using paired training heads so inference is truly end to end and low latency. Pick a size below and download the official .pt checkpoint in one click, with published accuracy, parameters and license all in view.
YOLOv10 checkpoints, pick a size and download
The first widely used YOLO that skips the NMS post-processing step, using paired training heads so inference is truly end to end and low latency.
| Model | COCO mAP | Params | Download |
|---|---|---|---|
YOLOv10n yolov10n.pt | 39.5 | 2.3M | |
YOLOv10s yolov10s.pt | 46.7 | 7.2M | |
YOLOv10m yolov10m.pt | 51.3 | 15.4M | |
YOLOv10b yolov10b.pt | 52.7 | 19.1M | |
YOLOv10l yolov10l.pt | 53.3 | 24.4M | |
YOLOv10x yolov10x.pt | 54.4 | 29.5M |
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 YOLOv10 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("yolov10n.pt")
results = model("image.jpg")About YOLOv10
YOLOv10 (Tsinghua University, NeurIPS 2024) introduced consistent dual assignments, a one-to-many head for training and a one-to-one head for NMS-free inference, making it the first widely used end-to-end YOLO. It is detection-only, but its efficiency-first design gives strong accuracy at low parameter counts and latency.
- Author
- Tsinghua University (THU-MIG)
- Released
- 2024
- Tasks
- Detect
- Framework
- Built on 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 YOLOv10 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("yolov10n.pt")`. All 6 YOLOv10 checkpoints are hosted officially.
- Is YOLOv10 free for commercial use?
- YOLOv10 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 YOLOv10 model size should I use?
- Start with YOLOv10n, 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 54.4 COCO mAP.