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Deep Learning Classificator based on the Transformer architecture implemented with PyTorch and trained with a dataset made up of images representing 400 different types of birds. A convolutional neural network has also been added for performance comparison and the respective memory of the project.

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Bird_Species_Classification

Deep Learning Classificator based on the Transformer architecture implemented with PyTorch and trained with a dataset made up of images representing 400 different types of birds. A convolutional neural network has also been added for performance comparison and the respective memory of the project.

dataset: https://www.kaggle.com/competitions/iais22-birds/data

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Deep Learning Classificator based on the Transformer architecture implemented with PyTorch and trained with a dataset made up of images representing 400 different types of birds. A convolutional neural network has also been added for performance comparison and the respective memory of the project.

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