Image Classification
timm
LiteRT
Safetensors
coffee
plant-disease
agriculture
efficientnet
supervised-fine-tuning
File size: 2,939 Bytes
31a46d7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
104
105
106
107
{
  "labels": [
    "cercospora",
    "healthy",
    "miner",
    "phoma",
    "rust",
    "red_spider_mite",
    "weevil_damage",
    "unsupported"
  ],
  "app_condition_keys": [
    "cercospora",
    "healthy",
    "miner",
    "phoma",
    "rust",
    "mites",
    "weevil"
  ],
  "calibration": {
    "quality": {
      "minimum_edge_variance": 1.520114853217684,
      "minimum_mean_luminance": 45.59410861968994,
      "selection": "validation-only severe Gaussianblur challenge balancedaccuracy subject to >=90% clear acceptance"
    },
    "validation_n": 5294,
    "class_thresholds": [
      0.605,
      0.4,
      0.4,
      0.865,
      0.4,
      1.01,
      0.4
    ],
    "confident_thresholds": [
      0.895,
      0.7050000000000001,
      0.605,
      0.9600000000000001,
      0.4,
      1.01,
      0.4
    ],
    "class_threshold_evidence": [
      {
        "label": "cercospora",
        "enabled": true,
        "accept_threshold": 0.605,
        "val_true_support": 216
      },
      {
        "label": "healthy",
        "enabled": true,
        "accept_threshold": 0.4,
        "val_true_support": 265
      },
      {
        "label": "miner",
        "enabled": true,
        "accept_threshold": 0.4,
        "val_true_support": 964
      },
      {
        "label": "phoma",
        "enabled": true,
        "accept_threshold": 0.865,
        "val_true_support": 575
      },
      {
        "label": "rust",
        "enabled": true,
        "accept_threshold": 0.4,
        "val_true_support": 2101
      },
      {
        "label": "red_spider_mite",
        "enabled": false,
        "accept_threshold": 1.01,
        "val_true_support": 25
      },
      {
        "label": "weevil_damage",
        "enabled": true,
        "accept_threshold": 0.4,
        "val_true_support": 924
      }
    ],
    "runtime": "LiteRT CPU int8 per-channel weight storage / float32 computation",
    "artifact_sha256": "ddbea87650b839dabb376f32d7e210ccc21a105024de23b3c0abf25fbbe86a01",
    "brightness_config_sha256": "cd2c58f04fa705204593009b940ad5aff2329742a348c83330eacb106788660e",
    "version": "b2-deployed-v1",
    "temperature": 0.7418458392824085,
    "selection": "Validation-only compressed runtime, current shared brightness policy; >=15 accepted and >=90%/95% precision per class"
  },
  "input": "float32 raw RGB 0..255 NHWC",
  "crop_pct": 0.875,
  "architecture": "efficientnet_b2",
  "input_size": 224,
  "model_repository": "timm/efficientnet_b2.ra_in1k",
  "model_revision": "3577c4a7d84723645311bb5a9e5086f1b62ec8e2",
  "manifest_sha256": "e27dd7fc6483ad16064ccf4ebf1204ef1d8ad2c8881c5b6960641d3cbbc852f5",
  "checkpoint_sha256": "eb6a5d4daac75046befce1250bc9278d4c1d2ccfa8ccf0fe2f4302cb918e8dd8",
  "calibration_sha256": "8224070d8194b0df0cdfb9ea517307fab4878b7a7e13e1691605fe4be4f98f8d"
}