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tiled-inference

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pcb-component-detection-yolo26

🔍 PCB component detection with YOLO26 on full-resolution tiled boards — locator (mAP50 0.81) + 13-class typer (IC 0.83) + explainable Random-Forest refiner. 108k annotations, weights + Colab notebooks included.

  • Updated Oct 28, 2026
  • Jupyter Notebook

ShelfSight: retail shelf product detection built at Hackology II. COCO-to-YOLO data prep, YOLO and RT-DETR training, tiled inference with ensembling, COCO-format predictions and local scoring. Public release without the competition data.

  • Updated May 26, 2026
  • Python

Code and experiment records for MARIVISION: a Deformable DETR + ConvNeXt-B detector for the SeaClips maritime benchmark, with native-resolution window training and 17-view inference. No dataset files or weights.

  • Updated Nov 12, 2026
  • Python

Point-based evaluation for the Aerial Elephant Dataset. AED ships point annotations only, so every bounding box is invented - IoU mAP ends up measuring your size assumption as much as your detector. Tolerance-in-metres matching, GSD-adaptive box synthesis, and a measured account of an AP-integration bug worth +0.107 mAP.

  • Updated Aug 2, 2026
  • Python

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