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logasanjeev
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indian-id-validator

Image-to-Text
ultralytics
PyTorch
PaddlePaddle
English
ocr
yolo
computer-vision
image-classification
object-detection
indian-id
document-processing
Eval Results (legacy)
Model card Files
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@@ -20,142 +20,143 @@ tags:
20
  - object-detection
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  - indian-id
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  - document-processing
 
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  model-index:
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- - name: Id_Classifier
25
- results:
26
- - task:
27
- type: image-classification
28
- dataset:
29
- name: custom-indian-id-dataset
30
- type: custom-indian-id-dataset
31
- metrics:
32
- - name: Accuracy (Top-1)
33
- type: accuracy_top1
34
- value: 0.995
35
- - name: Accuracy (Top-5)
36
- type: accuracy_top5
37
- value: 1.0
38
- source:
39
- name: Ultralytics Hub
40
- url: https://hub.ultralytics.com/models/QnJjO78MxBaRVeX2wOO4
41
- - name: Aadhaar
42
- results:
43
- - task:
44
- type: object-detection
45
- dataset:
46
- name: custom-indian-id-dataset
47
- type: custom-indian-id-dataset
48
- metrics:
49
- - name: mAP50
50
- type: mAP50
51
- value: 0.795
52
- - name: mAP50-95
53
- type: mAP50-95
54
- value: 0.553
55
- - name: Precision
56
- type: precision
57
- value: 0.777
58
- - name: Recall
59
- type: recall
60
- value: 0.774
61
- - name: Fitness
62
- type: fitness
63
- value: 0.577
64
- source:
65
- name: Kaggle Notebook
66
- url: https://www.kaggle.com/code/ravindranlogasanjeev/aadhaar
67
- - name: Driving_License
68
- results:
69
- - task:
70
- type: object-detection
71
- dataset:
72
- name: custom-indian-id-dataset
73
- type: custom-indian-id-dataset
74
- metrics:
75
- - name: mAP50
76
- type: mAP50
77
- value: 0.690
78
- - name: mAP50-95
79
- type: mAP50-95
80
- value: 0.524
81
- - name: Precision
82
- type: precision
83
- value: 0.752
84
- - name: Recall
85
- type: recall
86
- value: 0.669
87
- source:
88
- name: Ultralytics Hub
89
- url: https://hub.ultralytics.com/models/eaHzQ79umKwJkic9DXbm
90
- - name: Pan_Card
91
- results:
92
- - task:
93
- type: object-detection
94
- dataset:
95
- name: custom-indian-id-dataset
96
- type: custom-indian-id-dataset
97
- metrics:
98
- - name: mAP50
99
- type: mAP50
100
- value: 0.924
101
- - name: mAP50-95
102
- type: mAP50-95
103
- value: 0.686
104
- - name: Precision
105
- type: precision
106
- value: 0.902
107
- - name: Recall
108
- type: recall
109
- value: 0.901
110
- source:
111
- name: Ultralytics Hub
112
- url: https://hub.ultralytics.com/models/Yj4aJ34fK02MkrHFSXq0
113
- - name: Passport
114
- results:
115
- - task:
116
- type: object-detection
117
- dataset:
118
- name: custom-indian-id-dataset
119
- type: custom-indian-id-dataset
120
- metrics:
121
- - name: mAP50
122
- type: mAP50
123
- value: 0.987
124
- - name: mAP50-95
125
- type: mAP50-95
126
- value: 0.851
127
- - name: Precision
128
- type: precision
129
- value: 0.972
130
- - name: Recall
131
- type: recall
132
- value: 0.967
133
- source:
134
- name: Ultralytics Hub
135
- url: https://hub.ultralytics.com/models/ELaiHGZ0bbr4JwsvSZ7z
136
- - name: Voter_Id
137
- results:
138
- - task:
139
- type: object-detection
140
- dataset:
141
- name: custom-indian-id-dataset
142
- type: custom-indian-id-dataset
143
- metrics:
144
- - name: mAP50
145
- type: mAP50
146
- value: 0.917
147
- - name: mAP50-95
148
- type: mAP50-95
149
- value: 0.772
150
- - name: Precision
151
- type: precision
152
- value: 0.922
153
- - name: Recall
154
- type: recall
155
- value: 0.873
156
- source:
157
- name: Ultralytics Hub
158
- url: https://hub.ultralytics.com/models/jAz7y1UQAfr2oBlwLGDp
159
  ---
160
  # Indian ID Validator
161
 
 
20
  - object-detection
21
  - indian-id
22
  - document-processing
23
+ - ultralytics
24
  model-index:
25
+ - name: Id_Classifier
26
+ results:
27
+ - task:
28
+ type: image-classification
29
+ dataset:
30
+ name: custom-indian-id-dataset
31
+ type: custom-indian-id-dataset
32
+ metrics:
33
+ - name: Accuracy (Top-1)
34
+ type: accuracy_top1
35
+ value: 0.995
36
+ - name: Accuracy (Top-5)
37
+ type: accuracy_top5
38
+ value: 1
39
+ source:
40
+ name: Ultralytics Hub
41
+ url: https://hub.ultralytics.com/models/QnJjO78MxBaRVeX2wOO4
42
+ - name: Aadhaar
43
+ results:
44
+ - task:
45
+ type: object-detection
46
+ dataset:
47
+ name: custom-indian-id-dataset
48
+ type: custom-indian-id-dataset
49
+ metrics:
50
+ - name: mAP50
51
+ type: mAP50
52
+ value: 0.795
53
+ - name: mAP50-95
54
+ type: mAP50-95
55
+ value: 0.553
56
+ - name: Precision
57
+ type: precision
58
+ value: 0.777
59
+ - name: Recall
60
+ type: recall
61
+ value: 0.774
62
+ - name: Fitness
63
+ type: fitness
64
+ value: 0.577
65
+ source:
66
+ name: Kaggle Notebook
67
+ url: https://www.kaggle.com/code/ravindranlogasanjeev/aadhaar
68
+ - name: Driving_License
69
+ results:
70
+ - task:
71
+ type: object-detection
72
+ dataset:
73
+ name: custom-indian-id-dataset
74
+ type: custom-indian-id-dataset
75
+ metrics:
76
+ - name: mAP50
77
+ type: mAP50
78
+ value: 0.69
79
+ - name: mAP50-95
80
+ type: mAP50-95
81
+ value: 0.524
82
+ - name: Precision
83
+ type: precision
84
+ value: 0.752
85
+ - name: Recall
86
+ type: recall
87
+ value: 0.669
88
+ source:
89
+ name: Ultralytics Hub
90
+ url: https://hub.ultralytics.com/models/eaHzQ79umKwJkic9DXbm
91
+ - name: Pan_Card
92
+ results:
93
+ - task:
94
+ type: object-detection
95
+ dataset:
96
+ name: custom-indian-id-dataset
97
+ type: custom-indian-id-dataset
98
+ metrics:
99
+ - name: mAP50
100
+ type: mAP50
101
+ value: 0.924
102
+ - name: mAP50-95
103
+ type: mAP50-95
104
+ value: 0.686
105
+ - name: Precision
106
+ type: precision
107
+ value: 0.902
108
+ - name: Recall
109
+ type: recall
110
+ value: 0.901
111
+ source:
112
+ name: Ultralytics Hub
113
+ url: https://hub.ultralytics.com/models/Yj4aJ34fK02MkrHFSXq0
114
+ - name: Passport
115
+ results:
116
+ - task:
117
+ type: object-detection
118
+ dataset:
119
+ name: custom-indian-id-dataset
120
+ type: custom-indian-id-dataset
121
+ metrics:
122
+ - name: mAP50
123
+ type: mAP50
124
+ value: 0.987
125
+ - name: mAP50-95
126
+ type: mAP50-95
127
+ value: 0.851
128
+ - name: Precision
129
+ type: precision
130
+ value: 0.972
131
+ - name: Recall
132
+ type: recall
133
+ value: 0.967
134
+ source:
135
+ name: Ultralytics Hub
136
+ url: https://hub.ultralytics.com/models/ELaiHGZ0bbr4JwsvSZ7z
137
+ - name: Voter_Id
138
+ results:
139
+ - task:
140
+ type: object-detection
141
+ dataset:
142
+ name: custom-indian-id-dataset
143
+ type: custom-indian-id-dataset
144
+ metrics:
145
+ - name: mAP50
146
+ type: mAP50
147
+ value: 0.917
148
+ - name: mAP50-95
149
+ type: mAP50-95
150
+ value: 0.772
151
+ - name: Precision
152
+ type: precision
153
+ value: 0.922
154
+ - name: Recall
155
+ type: recall
156
+ value: 0.873
157
+ source:
158
+ name: Ultralytics Hub
159
+ url: https://hub.ultralytics.com/models/jAz7y1UQAfr2oBlwLGDp
160
  ---
161
  # Indian ID Validator
162