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prithivMLmods
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Road-Subsigns-Classification

Image Classification
Transformers
Safetensors
English
siglip
Road-Subsigns-Classification
SigLIP2
Traffic
Model card Files
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Community
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  license: apache-2.0
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  datasets:
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  - Panoramax/classified_fr_road_subsigns
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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  datasets:
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  - Panoramax/classified_fr_road_subsigns
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+ language:
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+ - en
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+ base_model:
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+ - google/siglip2-base-patch16-224
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+ pipeline_tag: image-classification
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+ library_name: transformers
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+ tags:
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+ - Road-Subsigns-Classification
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+ - SigLIP2
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+ - Traffic
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+ ---
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+
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+ ```py
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+ Classification Report:
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+ precision recall f1-score support
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+
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+ M1 0.9907 0.9815 0.9860 324
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+ M11c1-E 1.0000 0.9787 0.9892 47
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+ M2 0.9950 0.9853 0.9901 204
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+ M3a-droite 0.9699 0.9680 0.9690 500
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+ M3a-gauche 0.9431 0.9375 0.9403 336
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+ M3b-gauche 1.0000 1.0000 1.0000 14
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+ M4a 0.9914 0.9664 0.9787 119
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+ M4b 0.8929 1.0000 0.9434 25
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+ M4c 0.8947 1.0000 0.9444 17
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+ M4d1 0.9887 1.0000 0.9943 175
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+ M4d2 0.9844 0.9844 0.9844 64
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+ M4f 0.9826 1.0000 0.9912 452
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+ M4g 0.9940 1.0000 0.9970 329
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+ M4h 0.0000 0.0000 0.0000 1
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+ M4u 0.8571 0.9231 0.8889 13
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+ M4v 1.0000 1.0000 1.0000 100
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+ M4z1 1.0000 1.0000 1.0000 45
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+ M4z2 0.0000 0.0000 0.0000 1
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+ M5-STOP 1.0000 0.9872 0.9935 234
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+ M6a 0.9940 0.9920 0.9930 500
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+ M6h 1.0000 0.9943 0.9972 353
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+ M6i 0.9885 1.0000 0.9942 86
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+ M6j 0.9855 1.0000 0.9927 68
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+ M8a 0.9619 0.9528 0.9573 106
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+ M8b 0.7407 0.9091 0.8163 22
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+ M8c 0.8485 0.9825 0.9106 57
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+ M8d 0.9739 0.9739 0.9739 115
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+ M8e 0.9754 0.9835 0.9794 121
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+ M8f 0.9972 0.9756 0.9863 369
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+ M9Z-INTERDIT-HORS-CASES 0.9787 0.9919 0.9852 370
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+ M9Z-SAUF-BUS 0.9650 0.9452 0.9550 146
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+ M9Z-SAUF-BUS-SCOLAIRE 0.9688 0.9394 0.9538 66
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+ M9c 0.9843 1.0000 0.9921 500
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+ M9d 0.9945 0.9759 0.9851 373
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+ M9v 0.9952 1.0000 0.9976 418
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+ M9z 0.7760 0.7132 0.7433 136
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+ M9z-DES-DEUX-COTES 0.9741 0.9496 0.9617 119
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+ M9z-ECOLE 1.0000 0.9474 0.9730 38
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+ M9z-PARKING-PRIVE 1.0000 1.0000 1.0000 9
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+ M9z-PASSAGE-SURELEVE 0.9808 0.9808 0.9808 104
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+ M9z-PROPRIETE-PRIVEE 0.9091 0.8333 0.8696 12
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+ M9z-RAPPEL 0.9933 0.9978 0.9955 447
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+ M9z-SAUF-CHANTIER 1.0000 0.7273 0.8421 11
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+ M9z-SAUF-CONVOIS-EXCEPT 0.0000 0.0000 0.0000 2
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+ M9z-SAUF-CYCLISTES 0.9626 0.9836 0.9730 183
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+ M9z-SAUF-DESSERTE 0.9307 0.9792 0.9543 96
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+ M9z-SAUF-LIVRAISONS 0.8478 0.9286 0.8864 42
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+ M9z-SAUF-POLICE 1.0000 0.8667 0.9286 15
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+ M9z-SAUF-RIVERAINS 0.9677 0.9615 0.9646 312
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+ M9z-SAUF-SERVICE 0.9160 0.9375 0.9266 128
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+ M9z-SAUF-TAXIS 0.7778 0.8235 0.8000 17
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+ M9z-SAUF-VEHICULES-AGRICOLES 0.9712 0.9018 0.9352 112
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+ M9z-SAUF-VEHICULES-AUTORISES 0.9253 0.9817 0.9527 164
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+ M9z-SECOURS 1.0000 0.6667 0.8000 9
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+ M9z-SIGNAL-AUTO 0.9892 0.9892 0.9892 93
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+ M9z-SORTIE-POMPIERS 0.9062 0.9355 0.9206 31
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+ M9z-SORTIE-VEHICULES 1.0000 0.7857 0.8800 14
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+ M9z-SUR-LE-TROTTOIR 0.9444 0.9444 0.9444 18
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+ M9z-VERGLAS 1.0000 0.6875 0.8148 16
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+ zz 0.9486 0.9600 0.9543 500
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+
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+ accuracy 0.9732 9298
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+ macro avg 0.9093 0.8968 0.9009 9298
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+ weighted avg 0.9731 0.9732 0.9729 9298
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+ ```