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SheezaShabbir / 90_Animal_detection-using-ViT

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The "Animal Detection Using VIT Transformers with 97% Testing Accuracy" project is a focused and achievable initiative aimed at building an accurate animal detection system. Leveraging Vision Transformer (VIT) models, this project is dedicated to the specific goal of achieving a high testing accuracy of 97% in identifying.

data-science image transformers image-classification animals vit multiclass-classification highest streamlit-webapp vision-transformer streamlit-application
  • Updated Nov 1, 2023
  • Jupyter Notebook