Hugging Face's logo

sam1120
/
safety-userstudy-terrain

Image Segmentation
Transformers
PyTorch
TensorBoard
segformer
vision
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
safety-userstudy-terrain
File size: 1,674 Bytes 
9153715
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
 
{
  "_name_or_path": "nvidia/mit-b5",
  "architectures": [
    "SegformerForSemanticSegmentation"
  ],
  "attention_probs_dropout_prob": 0.0,
  "classifier_dropout_prob": 0.1,
  "decoder_hidden_size": 768,
  "depths": [
    3,
    6,
    40,
    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": "unlabeled",
    "1": "NAT",
    "2": "concrete-speedway-side",
    "3": "concrete-road-adj",
    "4": "grass",
    "5": "speedway-bricks",
    "6": "steel",
    "7": "steel-sidewalk",
    "8": "dark-bricks",
    "9": "road",
    "10": "rough-red-sidewalk",
    "11": "tiles-marble",
    "12": "red-bricks",
    "13": "REST"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "NAT": 1,
    "REST": 13,
    "concrete-road-adj": 3,
    "concrete-speedway-side": 2,
    "dark-bricks": 8,
    "grass": 4,
    "red-bricks": 12,
    "road": 9,
    "rough-red-sidewalk": 10,
    "speedway-bricks": 5,
    "steel": 6,
    "steel-sidewalk": 7,
    "tiles-marble": 11,
    "unlabeled": 0
  },
  "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": "4.30.2"
}