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CNN committee (traffic sign)

IDSIAImage classification

The CNN committee (traffic sign) model is a image classification model from IDSIA with 1388800.0 parameters.

About CNN committee (traffic sign)

We describe the approach that won the preliminary phase of the German traffic sign recognition benchmark with a better-than-human recognition rate of 98.98%.We obtain an even better recognition rate of 99.15% by further training the nets. Our fast, f

Details

Provider
IDSIA
Task
Image classification
Parameters
1388800.0
Released
2011-10-03
Open weights
No
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