keras_models/config.json

{
  "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": {
    "arm": 0,
    "bad": 1,
    "can": 2,
    "car": 3,
    "child": 4,
    "close": 5,
    "cry": 6,
    "cut": 7,
    "dad": 8,
    "down": 9,
    "drop": 10,
    "eye": 11,
    "face": 12,
    "fall": 13,
    "fast": 14,
    "find": 15,
    "fireman": 16,
    "give": 17,
    "glasswindow": 18,
    "go": 19,
    "have": 20,
    "haveto": 21,
    "head": 22,
    "hear": 23,
    "hesheit": 24,
    "hide": 25,
    "high": 26,
    "home": 27,
    "hot": 28,
    "jump": 29,
    "look": 30,
    "loud": 31,
    "mad": 32,
    "man": 33,
    "mom": 34,
    "no": 35,
    "not": 36,
    "now": 37,
    "open": 38,
    "outside": 39,
    "owie": 40,
    "person": 41,
    "police": 42,
    "quiet": 43,
    "room": 44,
    "see": 45,
    "sick": 46,
    "stairs": 47,
    "stuck": 48,
    "talk": 49,
    "time": 50,
    "touch": 51,
    "up": 52,
    "wait": 53,
    "water": 54,
    "where": 55,
    "who": 56,
    "why": 57,
    "will": 58,
    "yes": 59
  },
  "created_at": "2025-07-10T10:12:47.821420"
}