objectDetection/yolov9: YOLOv9 (Ultralytics weights), object detection
| Catalog id | yolov9t-320, yolov9t-640, yolov9s-*, yolov9m-*, yolov9c-*, each with an -int8 twin |
| Upstream | Ultralytics YOLOv9 implementation, COCO-pretrained: https://github.com/ultralytics/ultralytics. Architecture: Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao, https://github.com/WongKinYiu/yolov9 (GPL-3.0) |
| Obtained from | upstream checkpoints yolov9{t,s,m,c}.pt, https://github.com/ultralytics/assets/releases |
| Code licence | AGPL-3.0 (Ultralytics); original YOLOv9 repository GPL-3.0 (LICENSES/GPL-3.0.txt) |
| Weights licence | AGPL-3.0 (LICENSES/AGPL-3.0.txt) |
| Training data | COCO 2017 (annotations CC BY 4.0) |
| CamStack modifications | exported with Ultralytics to ONNX, OpenVINO IR FP16 and CoreML at 320 and 640; -int8 post-training quantised with OpenVINO NNCF. These are Ultralytics' weights re-exported, not trained by CamStack |
| Corresponding source | Source offer for the AGPL-3.0 weights |
| Commercial use | AGPL-3.0 obligations apply |
CamStack redistributes the files in this folder; every change from the upstream is stated above. Converting a model does not change its licence. The collection statement is LICENSE; every model's attribution is in THIRD_PARTY_MODELS.md.