sayannath/ViT-TF-Hub-Application
Build and fine-tune your Image Classifier using a Vision Transformer Model from TensorFlow Hub
This project helps machine learning practitioners fine-tune an image classification model to recognize different scenes in images. You provide a dataset of images, and it outputs a highly accurate model capable of categorizing new, unseen images into various scene types. This is ideal for data scientists, ML engineers, or researchers working on visual recognition tasks.
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Use this if you need to build a custom image classifier for scene detection, leveraging powerful Vision Transformer models with a focus on high accuracy.
Not ideal if you are a beginner looking for a simple drag-and-drop tool, as this requires some familiarity with machine learning workflows and TensorFlow.
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Jupyter Notebook
License
MIT
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Last pushed
Sep 27, 2021
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