Open-Source One-Click YOLO Trainer for AR Glasses Launches
stspanho · x · 2026-08-05
Developers @stspanho and @ptpavlo launched YOLO One Click Trainer, winning first place in the Spectacles Community Challenge. The tool allows AR glasses developers to generate ready-to-use YOLO object detection models from their own images in one click, without any ML pipeline setup.
The fully open-source pipeline runs behind a single Replicate call:
- Uses FLUX.1-schnell to generate extra first-person POV synthetic frames from prompts.
- Uses SAM 3 for fully automated zero-manual-annotation labeling on all frames.
- Fine-tunes YOLOv7-tiny and exports a 224×224 SnapML ONNX optimized for on-device cost.
Related event: Open-Source YOLO One Click Trainer Wins Spectacles Challenge(2 posts)→
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