Developer builds arrow detection with DINov3-pretrained ConvNext, F1 96.6%

A developer built an archery arrow-detection system using ConvNext pretrained on DINOv3, training on about 40,000 Blender-rendered scenes and 8,000 hand-labeled real images; it reached F1 96.6% and 80.5% whole-image correctness on test data.