# Model card for rozzman/mobileNetV3FromTimm    

This model is able to recognize 11 high commercially valuable types of wood from Brazil  

The dataset is from https://www.facom.ufu.br/~backes/wood_dataset.php  

The names of these 11 types of wood are shown in the table below  

![graph1](wood_dataset_1.png)  

The cross-sections of these 11 types of wood are shown in the following image  

![graph2](wood_dataset_2.png)  
{"library_name": "timm", "tags": ["image-classification", "timm"], "datasets": ["rozzman/autotrain-data-wood-identification"], "metrics": ["accuracy"], "library_tag": "timm", "pipeline_tag": "image-classification"}
timm pytorch image-classification dataset:rozzman/autotrain-data-wood-identification region:us
TAGS
#timm #pytorch #image-classification #dataset-rozzman/autotrain-data-wood-identification #region-us 

# Model card for rozzman/mobileNetV3FromTimm    

This model is able to recognize 11 high commercially valuable types of wood from Brazil  

The dataset is from URL  

The names of these 11 types of wood are shown in the table below  

!graph1  

The cross-sections of these 11 types of wood are shown in the following image  

!graph2  
# Model card for rozzman/mobileNetV3FromTimm    

This model is able to recognize 11 high commercially valuable types of wood from Brazil  

The dataset is from URL  

The names of these 11 types of wood are shown in the table below  

!graph1  

The cross-sections of these 11 types of wood are shown in the following image  

!graph2
TAGS
#timm #pytorch #image-classification #dataset-rozzman/autotrain-data-wood-identification #region-us 
 # Model card for rozzman/mobileNetV3FromTimm    

This model is able to recognize 11 high commercially valuable types of wood from Brazil  

The dataset is from URL  

The names of these 11 types of wood are shown in the table below  

!graph1  

The cross-sections of these 11 types of wood are shown in the following image  

!graph2