flowchart_vit
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Flowchart Classification Model
Model Description
This is a Vision Transformer (ViT) model fine-tuned for binary classification of images into flowchart or non-flowchart categories. The model achieves ~85% accuracy on validation data.
- Model type: Vision Transformer (ViT-Base)
- Input: 224x224 RGB images
- Output: Binary classification (flowchart/non-flowchart)
- Training data: Custom dataset of 600+ flowchart/non-flowchart images
Intended Uses
This model is designed for:
- Automated classification of flowchart and non-flowchart image