Model weights · YOLOv9
Download YOLOv9 weights
Adds Programmable Gradient Information and the GELAN backbone to preserve detail through deep layers, reaching high accuracy with very few parameters. Pick a size below and download the official .pt checkpoint in one click, with published accuracy, parameters and license all in view.
YOLOv9 checkpoints, pick a size and download
Adds Programmable Gradient Information and the GELAN backbone to preserve detail through deep layers, reaching high accuracy with very few parameters.
| Model | COCO mAP | Params | Download |
|---|---|---|---|
YOLOv9t yolov9t.pt | 38.3 | 2M | |
YOLOv9s yolov9s.pt | 46.8 | 7.1M | |
YOLOv9m yolov9m.pt | 51.4 | 20M | |
YOLOv9c yolov9c.pt | 53.0 | 25.3M | |
YOLOv9e yolov9e.pt | 55.6 | 57.3M |
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 YOLOv9 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("yolov9t.pt")
results = model("image.jpg")About YOLOv9
YOLOv9 (Academia Sinica, ECCV 2024) tackles the information bottleneck in deep networks with Programmable Gradient Information (PGI) and the Generalized ELAN (GELAN) architecture. It delivers high accuracy at low parameter counts and is integrated into Ultralytics for detection and segmentation.
- Author
- Academia Sinica (Wang et al.)
- Released
- 2024
- Tasks
- Detect, Segment
- Framework
- Original repo + Ultralytics (PyTorch)
- Input size
- 640px
- License
- GPL-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 YOLOv9 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("yolov9t.pt")`. All 5 YOLOv9 checkpoints are hosted officially.
- Is YOLOv9 free for commercial use?
- YOLOv9 is released under GPL-3.0. GPL-3.0 requires derivative works to also be open-sourced under GPL; review it against your deployment. Always confirm against the linked license text.
- Which YOLOv9 model size should I use?
- Start with YOLOv9t, 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 55.6 COCO mAP.