train_loader, val_loader = load_sugar_set_21_29( domain="industrial_vibration", samples_per_class=50 # Only 1,450 total samples! )
model = SugarTrainer(arch="sugar_micro", latency_target_ms=21) model.fit(train_loader, val_loader, target_classes=29) TinyModel Sugar Sets 21-29 Hit
Imagine a smart ring or wristband that recognizes 29 distinct finger and wrist gestures. Because the inference takes only 21ms, the system can respond faster than human perception (average reaction time ~250ms). Users can flick, pinch, or rotate to control AR glasses, presentations, or drones with zero lag. samples_per_class=50 # Only 1
The product line "TinyModel Sugar Sets 21-29" has achieved a designated "Hit" status. This indicates that these specific model kit sets have met or exceeded predefined sales, pre-order, or engagement targets. This report outlines the potential implications and recommended actions. or rotate to control AR glasses