Instructions to use rozzman/mobileNetV3FromTimm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use rozzman/mobileNetV3FromTimm with timm:
import timm model = timm.create_model("hf_hub:rozzman/mobileNetV3FromTimm", pretrained=True) - Notebooks
- Google Colab
- Kaggle
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
The cross-sections of these 11 types of wood are shown in the following image
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import timm model = timm.create_model("hf_hub:rozzman/mobileNetV3FromTimm", pretrained=True)