FACE EMBEDDING RECOGNITION MODEL V1 (PRODUCT)
Face embedding model for face recognition and authentication in sign-in systems using deep learning.
Description
Model Overview
This is a face recognition model built using TensorFlow/Keras that generates facial embeddings for identity verification and sign-in systems.
📥 Input
Face image (RGB)
📤 Output
Face embedding vector (numeric feature representation)
⚙️ Use Case
User authentication systems
FYP sign-in project
Identity verification systems
🧠 How It Works
Input face image is processed
Model extracts deep facial features
Embedding vector is generated
Vector is used for comparison/matching
📦 Framework
TensorFlow / Keras
🚀 Requirements
See requirements.txt for dependencies
Live Deployment Sandbox
Biometric Face Vectorization & Matching
Core Online
API Integration Guide
curl -X POST https://api.aimodelplace.com/api/v1/predict \
-H "Authorization: Bearer YOUR_API_KEY" \
-F "model_slug=face-embedding-recognition-model-v1_66" \
-F "file=@/path/to/your/file"
Successful response format (JSON):
{
"balance_remaining": 0,
"embedding": [
0.02500300481915474,
-0.021511856466531754,
0.012059435248374939,
-0.0663047730922699,
0.03802308812737465,
0.061902567744255066,
0.02878887951374054,
-0.03715380281209946,
0.13501890003681183,
-0.0016966089606285095,
-0.05924887955188751,
0.02251996472477913,
-0.0044222669675946236,
0.07312699407339096,
-0.04914981499314308,
-0.02171742171049118,
0.01755858212709427,
-0.04440978914499283,
-0.08941356837749481,
0.0018465936882421374,
-0.023462004959583282,
-0.019809357821941376,
-0.0632614940404892,
-0.021676363423466682,
-0.02973596379160881,
-0.14075234532356262,
-0.048982590436935425,
0.07124803215265274,
-0.11211150884628296,
0.07814135402441025,
0.03807414695620537,
-0.025057444348931313,
-0.021481752395629883,
-0.019363611936569214,
0.008784588426351547,
0.02722156047821045,
0.02578325942158699,
0.03880012035369873,
0.0022100992500782013,
0.07360729575157166,
0.03349417820572853,
-0.052985794842243195,
0.053121693432331085,
-0.0012861043214797974,
0.05898721143603325,
-0.0006409336347132921,
0.022091399878263474,
0.040880173444747925,
0.0185575932264328,
0.013576420024037361,
-0.003184990957379341,
0.016673672944307327,
0.05346490442752838,
0.09599979221820831,
0.024265073239803314,
0.022127285599708557,
-0.08578981459140778,
0.14142689108848572,
0.019503910094499588,
-0.01720571517944336,
0.01111699640750885,
0.04393382370471954,
0.1076257973909378,
0.07690820097923279,
0.04483452066779137,
-0.003415096551179886,
0.0957547202706337,
0.10800111293792725,
0.014116001315414906,
0.08961854875087738,
0.0025358963757753372,
-0.010405011475086212,
0.12039518356323242,
-0.006029266864061356,
0.10582427680492401,
0.044831037521362305,
0.020616063848137856,
0.040062326937913895,
-0.007717624306678772,
-0.024844974279403687,
0.12726366519927979,
0.06325256824493408,
-0.03411206603050232,
0.02286914363503456,
0.019433211535215378,
0.07381604611873627,
-0.0957384780049324,
0.024921821430325508,
0.09784185886383057,
0.10791227221488953,
-0.04409295320510864,
-0.07179206609725952,
0.0004790443927049637,
0.02048366516828537,
0.004313599318265915,
-0.07233689725399017,
-0.06221311166882515,
0.01758454740047455,
-0.0757317915558815,
-0.02934509888291359,
-0.03060626983642578,
0.044666267931461334,
-0.08638740330934525,
-0.07683607190847397,
0.006272519007325172,
-0.06779053807258606,
-0.09499333053827286,
-0.022355519235134125,
0.026175696402788162,
0.050286076962947845,
-0.06708600372076035,
-0.0499643050134182,
0.002443213015794754,
-0.04035983234643936,
-0.02238055318593979,
-0.0647481307387352,
-0.08326221257448196,
0.027313288301229477,
0.0693444237112999,
-0.04565257951617241,
-0.04113668575882912,
-0.02427503652870655,
0.004936039447784424,
-0.026365824043750763,
0.07551982998847961,
-0.07867403328418732,
-0.04392692819237709,
0.011150404810905457
],
"embedding2": [
0.01423371210694313,
-0.08013984560966492,
0.1008891835808754,
-0.08852704614400864,
0.08508184552192688,
0.11404813826084137,
0.03928553685545921,
-0.07061722874641418,
0.04297323897480965,
0.02239319309592247,
-0.0016274619847536087,
0.013342105783522129,
-0.08574234694242477,
0.005068798549473286,
0.04585801810026169,
0.03887587785720825,
0.012310415506362915,
-0.08772554248571396,
0.02086075209081173,
0.02875858172774315,
-0.03427805006504059,
-0.0684419795870781,
-0.034461915493011475,
-0.06852039694786072,
-0.01908281072974205,
-0.10719971358776093,
-0.023322779685258865,
0.05475347489118576,
-0.002866397611796856,
0.0569152906537056,
0.0865575298666954,
0.03345637023448944,
-0.0908922478556633,
3.045797348022461e-5,
0.04847210645675659,
-0.015158284455537796,
0.023754429072141647,
0.04524775967001915,
-0.08662539720535278,
-0.026191990822553635,
0.01873018965125084,
-0.09616191685199738,
-0.009395213797688484,
-0.013414964079856873,
0.04962192475795746,
-0.05548785626888275,
-0.05859607458114624,
0.03551293909549713,
-0.08182249218225479,
-0.002804313786327839,
0.003723764792084694,
0.040937069803476334,
-0.021967604756355286,
-0.003436937928199768,
-0.031764525920152664,
-0.011968597769737244,
-0.09403225779533386,
0.001465536653995514,
0.04402344673871994,
-0.0012563597410917282,
-0.03083989769220352,
-0.023059703409671783,
0.08253664523363113,
-0.02609093487262726,
0.025479599833488464,
-0.026031117886304855,
0.06578747183084488,
-0.019148848950862885,
0.03398996219038963,
0.01920648291707039,
0.04103098064661026,
-0.0047591254115104675,
0.0819859728217125,
-0.10842953622341156,
0.061583880335092545,
0.033175863325595856,
0.051136914640665054,
-0.03551729768514633,
0.028281178325414658,
0.03712812066078186,
0.06445707380771637,
0.032908789813518524,
0.033261753618717194,
0.11626502871513367,
-0.0047135911881923676,
-0.059241101145744324,
0.019971638917922974,
0.02241675555706024,
-0.03845749795436859,
0.02981424331665039,
-0.004613123834133148,
-0.04275626689195633,
0.027826132252812386,
-0.024289365857839584,
-0.020751677453517914,
0.03486703336238861,
0.05573567748069763,
-0.02058415859937668,
-0.0614079087972641,
-0.009685431607067585,
-0.04835242033004761,
-0.024678677320480347,
-0.08350847661495209,
0.033144816756248474,
0.06019063666462898,
0.006372407078742981,
-0.029679296538233757,
0.021038463339209557,
-0.0190972201526165,
0.03504198044538498,
0.031096315011382103,
-0.10570156574249268,
0.050389595329761505,
0.04359317943453789,
0.033942826092243195,
0.06672033667564392,
0.018057864159345627,
-0.02394772507250309,
-0.00701514258980751,
0.01716557890176773,
0.0024555474519729614,
-0.03878818452358246,
-0.07319653034210205,
0.026503369212150574,
-0.005091946572065353,
-0.06673899292945862,
0.035802021622657776,
-0.04812176153063774
],
"is_same": false,
"length": 128,
"similarity": 0.33214786648750305,
"success": true,
"tokens_consumed": 0
}For more detailed parameters and SDK examples, visit our Full API Documentation.
Post Your Comments
Login to comment