| # Training and evaluation record | |
| ## v1 provenance | |
| - Model: YOLO26x-Pose | |
| - Version: `v1` | |
| - Status: `pretrained` (inventory status); model card status remains `experimental` until independent validation completes | |
| - Upstream trainer/developer: Ultralytics | |
| - Upstream model reference: [Ultralytics YOLO26x-Pose](https://platform.ultralytics.com/ultralytics/yolo26/yolo26x-pose) | |
| - Select AI training run: none | |
| - Select AI fine-tuning run: none | |
| - Selected checkpoint: YOLO26x-Pose upstream pretrained checkpoint | |
| - Checkpoint path: `models/yolo26x-pose.pt` | |
| - Provenance script: `scripts/train.py` (records provenance only; does not launch training or download datasets) | |
| The v1 package contains the upstream pretrained YOLO26x-Pose artifact from Ultralytics. Select AI did not train or fine-tune the published checkpoint. Model specifications for the upstream checkpoint are taken from the Ultralytics platform reference linked above. | |
| ## Output contract (v1) | |
| - Per-person feature vector: 51 floats (17 COCO keypoints × `x`, `y`, `confidence`) | |
| - Per-person bounding box: `box_xyxy = [x1, y1, x2, y2]` | |
| - Downstream consumers assemble bbox + feature vector into a pandas DataFrame | |
| ## Reference benchmark record | |
| The retained benchmark record documents the upstream reference performance for YOLO26x-Pose at 960 × 960 on the COCO Keypoints validation set. | |
| | Model | Input | Dataset | mAP50-95 | mAP50 | | |
| | --- | --- | --- | ---: | ---: | | |
| | YOLO26x-Pose | 960 × 960 | COCO Keypoints | 71.6% | 91.6% | | |