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
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%