mirror reflections

Testing Vision AI Against a Mirror Suit Built to Break Object Detection

A mirror suit designed to break object detection sounds like a stunt, but this dataset is serious engineering. With 425 assets captured in high-contrast outdoor environments, it purposefully triggers bounding-box dropouts and segmentation failures. The inclusion of uncompressed Camera-Master RAWs and SHA-256 forensic manifests signals a forensic approach to stress-testing spatial AI. For teams building vision models that must handle real-world glare and reflection, this is exactly the kind of adversarial data that separates robust systems from fragile ones.