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The 6 Best Pre-Trained Models for Work and Business

The 6 Best Pre-Trained Models for Work and Business
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Vggnet Visual Geometry Group Network , Resnet Residual Neural Network , Convolutional Neural Network Architecture , Bidirectional Encoder Representations , Generative Pre Trained Transformer , Text To Transfer Transformer , Residual Neural Network , Visual Geometry Group Network , Tensorflow Hub ,

Frontiers | Using Deep Learning to Identify Costa Rican Native Tree Species From Wood Cut Images

Tree species identification is critical to support their conservation, sustainable management and, particularly, the fight against illegal logging. Therefore, it is very important to develop fast and accurate identification systems even for non-experts. In this research we have achieved three main results. First, we developed from scratch and using new sample collecting and processing protocols an dataset called CRTreeCuts that comprises macroscopic cross-section images of 147 native tree species from Costa Rica. Secondly, we implemented a CNN for automated tree species identification based on macroscopic images of cross-sections of wood. For this CNN we apply the fine-tuning technique with VGG16 as a base model, pre-trained with the ImageNet data set. This model is trained and tested with a subset of 75 species from CRTreeCuts. The top-1 and top-3 accuracies achieved in the testing phase are 70.5% and 80.3%, respectively. The Same-Specimen-Picture Bias (SSPB), which is known to er ....

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