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Computer Vision for Queen Bee Detection (2D)

Top-down Canvas2D hive-frame detector: tune confidence threshold, image noise and model tier and watch bounding boxes change live around a simulated queen bee.

AI & Machine Learning2DModerate60 FPS📱 Mobile-adapted⇄ 3D version
2d-computer-vision-queen-detection-models-deployment-lab ↗ Open standalone

This 2D companion runs the same detection-scoring model as the 3D version — a base score per bee kind (queen highest, drone middle, worker lowest), perturbed by image noise and model tier, and thresholded into bounding boxes — but viewed top-down on a flat Canvas2D hive frame instead of an orbiting 3D scene, so the detector's behavior reads clearly at a glance.

⚙ Under the hood

Top-down Canvas2D hive-frame detector: tune confidence threshold, image noise and model tier to see a simulated object detector's bounding boxes change live around a simulated queen bee.

computer visionmachine learningobject detectionimage recognitionartificial intelligence

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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