jman4162/PyTorch-Vision-Transformers-ViT
Explore fine-tuning the Vision Transformer (ViT) model for object recognition in robotics using PyTorch. This tutorial covers setup, training, and evaluation processes, achieving impressive accuracy with practical resource constraints. Ideal for learners in AI and robotics.
This helps AI and robotics learners fine-tune Vision Transformer (ViT) models for object recognition tasks. You provide images with various objects, and the system trains a model to accurately identify and classify those objects. It's designed for students and practitioners who need to build and evaluate robust image classification systems efficiently.
Use this if you are learning or building a system for object recognition and need a straightforward way to train and evaluate Vision Transformer models.
Not ideal if you need to work with a vast array of deep learning architectures beyond Vision Transformers or require highly complex, research-specific API interactions.
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Python
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MIT
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Last pushed
Feb 06, 2026
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