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YOLOX-S -> Core AI: fp32 .aimodel + card (parity 1.000, device-verified iPhone 17 Pro)
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{
"assetVersion" : "2.0",
"description" : "YOLOX-s anchor-free single-stage detector (CSPDarknet + PAFPN + decoupled head). Input: BGR 0-255 letterboxed [1,3,S,S]; output preds [1,A,85] = decoded cxcywh pixels + obj + 80 sigmoid class scores. Host does score=obj*cls threshold + per-class NMS. https:\/\/github.com\/Megvii-BaseDetection\/YOLOX",
"author" : "Megvii (YOLOX); Core AI export: coreai-model-zoo",
"license" : "Apache-2.0",
"creationDate" : "20260628T073623Z"
}