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sign_language_recognition
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CLARIS
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{
  "model_type": "sign_language_recognition",
  "framework": "tensorflow",
  "max_len": 384,
  "dim": 192,
  "num_classes": 60,
  "dropout_start_epoch": 15,
  "batch_size": 32,
  "learning_rate": 0.0005,
  "weight_decay": 0.1,
  "epochs_trained": 200,
  "input_shape": [
    null,
    384,
    708
  ],
  "output_shape": [
    null,
    60
  ],
  "total_params": 1763418,
  "sign_classes": {
    "go": 0,
    "hot": 1,
    "dad": 2,
    "yes": 3,
    "no": 4,
    "sick": 5,
    "mom": 6,
    "cut": 7,
    "stuck": 8,
    "outside": 9,
    "talk": 10,
    "arm": 11,
    "up": 12,
    "person": 13,
    "can": 14,
    "close": 15,
    "face": 16,
    "head": 17,
    "mad": 18,
    "wait": 19,
    "eye": 20,
    "hide": 21,
    "home": 22,
    "why": 23,
    "quiet": 24,
    "will": 25,
    "glasswindow": 26,
    "not": 27,
    "fireman": 28,
    "down": 29,
    "child": 30,
    "hesheit": 31,
    "find": 32,
    "jump": 33,
    "where": 34,
    "room": 35,
    "look": 36,
    "high": 37,
    "hear": 38,
    "now": 39,
    "time": 40,
    "open": 41,
    "fall": 42,
    "owie": 43,
    "drop": 44,
    "man": 45,
    "give": 46,
    "car": 47,
    "fast": 48,
    "bad": 49,
    "have": 50,
    "stairs": 51,
    "who": 52,
    "cry": 53,
    "loud": 54,
    "haveto": 55,
    "water": 56,
    "see": 57,
    "police": 58,
    "touch": 59
  },
  "created_at": "2025-07-10T07:14:08.417702"
}