bev-ens1

bev-ens1

Beverage detection for Bittensor subnet 44 (Score), public track.

Two YOLO26n detectors are run on one shared 704x704 letterboxed tensor, reduced to their own detections by per-class NMS, then combined by weighted box fusion. The two models disagree on different images, and fusing them scores higher than either alone.

Contents

Both source models are published openly on the subnet and are Ultralytics YOLO26n exports under AGPL-3.0; this derivative keeps that licence. Classes are the element's own order: cup, can, bottle.

Configuration

Per-model NMS at IoU 0.45, fusion at IoU 0.45, fused confidence 0.30. Those were chosen by five-fold cross-validation on 243 challenge images, with thresholds picked on four folds and read off the fifth.

Inference threads are min(8, os.cpu_count()) rather than a fixed 2, because the audit sandbox sets no CPU limit.