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DIRD Models v1.0.1

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@Debaq Debaq released this 20 Apr 16:38
· 7 commits to main since this release
v1.0.1
186f4f3

DIRD Models v1.0.1

First tagged release of pretrained YOLO models for diabetic retinopathy detection.

Included

  • detection-v1.0.1.onnx — YOLOv11 detection weights (opset 14, browser-ready)
  • detection-v1.0.1.json — model metadata (11 classes, 7 active)
  • MODEL_CONVERTER.py — ONNX → browser-compatible converter

Detection model

  • Architecture: YOLOv11
  • Input: 640 × 640
  • Classes: 11 (7 currently detected, 4 reserved)
  • Global mAP50: 0.826 · mAP50-95: 0.450
  • Status: REQUIRES_IMPROVEMENT

Notes

  • Segmentation model (blood vessels, exudates, hemorrhages, neovascularization) still in development — not included in this release.
  • Licensed under MIT.
  • Research and assistive tooling only. Not a medical device.
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