segformer-b3-fashion / config.json
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{
"_name_or_path": "nvidia/mit-b3",
"architectures": [
"SegformerForSemanticSegmentation"
],
"attention_probs_dropout_prob": 0.0,
"classifier_dropout_prob": 0.1,
"decoder_hidden_size": 768,
"depths": [
3,
4,
18,
3
],
"downsampling_rates": [
1,
4,
8,
16
],
"drop_path_rate": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_sizes": [
64,
128,
320,
512
],
"id2label": {
"0": "unlabelled",
"1": "shirt, blouse",
"2": "top, t-shirt, sweatshirt",
"3": "sweater",
"4": "cardigan",
"5": "jacket",
"6": "vest",
"7": "pants",
"8": "shorts",
"9": "skirt",
"10": "coat",
"11": "dress",
"12": "jumpsuit",
"13": "cape",
"14": "glasses",
"15": "hat",
"16": "headband, head covering, hair accessory",
"17": "tie",
"18": "glove",
"19": "watch",
"20": "belt",
"21": "leg warmer",
"22": "tights, stockings",
"23": "sock",
"24": "shoe",
"25": "bag, wallet",
"26": "scarf",
"27": "umbrella",
"28": "hood",
"29": "collar",
"30": "lapel",
"31": "epaulette",
"32": "sleeve",
"33": "pocket",
"34": "neckline",
"35": "buckle",
"36": "zipper",
"37": "applique",
"38": "bead",
"39": "bow",
"40": "flower",
"41": "fringe",
"42": "ribbon",
"43": "rivet",
"44": "ruffle",
"45": "sequin",
"46": "tassel"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"applique": 37,
"bag, wallet": 25,
"bead": 38,
"belt": 20,
"bow": 39,
"buckle": 35,
"cape": 13,
"cardigan": 4,
"coat": 10,
"collar": 29,
"dress": 11,
"epaulette": 31,
"flower": 40,
"fringe": 41,
"glasses": 14,
"glove": 18,
"hat": 15,
"headband, head covering, hair accessory": 16,
"hood": 28,
"jacket": 5,
"jumpsuit": 12,
"lapel": 30,
"leg warmer": 21,
"neckline": 34,
"pants": 7,
"pocket": 33,
"ribbon": 42,
"rivet": 43,
"ruffle": 44,
"scarf": 26,
"sequin": 45,
"shirt, blouse": 1,
"shoe": 24,
"shorts": 8,
"skirt": 9,
"sleeve": 32,
"sock": 23,
"sweater": 3,
"tassel": 46,
"tie": 17,
"tights, stockings": 22,
"top, t-shirt, sweatshirt": 2,
"umbrella": 27,
"unlabelled": 0,
"vest": 6,
"watch": 19,
"zipper": 36
},
"layer_norm_eps": 1e-06,
"mlp_ratios": [
4,
4,
4,
4
],
"model_type": "segformer",
"num_attention_heads": [
1,
2,
5,
8
],
"num_channels": 3,
"num_encoder_blocks": 4,
"patch_sizes": [
7,
3,
3,
3
],
"reshape_last_stage": true,
"semantic_loss_ignore_index": 255,
"sr_ratios": [
8,
4,
2,
1
],
"strides": [
4,
2,
2,
2
],
"torch_dtype": "float32",
"transformers_version": "4.30.0"
}