YOLOX-S -> Core AI: fp32 .aimodel + card (parity 1.000, device-verified iPhone 17 Pro)
b1e4751 verified | { | |
| "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" | |
| } |