NM i AI 2026 — NorgesGruppen Object Detection Models
YOLO26-x multi-class object detection models trained for the NorgesGruppen grocery shelf detection task.
Ensemble (submission #8: mAP@0.5 = 0.9139)
ensemble/pseudo_best.onnx — Pseudo-label model (mAP50=0.789)ensemble/fold0_best.onnx — K-fold 0 (mAP50=0.726)ensemble/fold2_best.onnx — K-fold 2 (mAP50=0.749)
Combined with WBF (Weighted Box Fusion) + TTA.
Additional Models
folds/ — K-fold 1, 4multi/ — Multi-class v2single/ — Full-data YOLO26 single modelprogressive/ — Progressive resize pretrainedpseudo/ — Pseudo-label long trainingaug/ — Augmentation v2highres/ — 1600px resolution
License
MIT
