{ "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" }