PyTorch Unified Model Comparison

Upload an image and compare predictions from three different PyTorch models simultaneously.

This tool helps you understand how different architectures (Basic CNN, Transformers, Xception) classify the same image and identify where they agree or disagree.

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Results

Model 1: Basic CNN

Model 2: Hugging Face (DeiT-Tiny)

Model 3: Xception

Class Probabilities

Model 1: Basic CNN | Probabilities

Model 2: DeiT-Tiny | Meta | Probabilities

Model 3: Xception | Probabilities

Dataset: Random images are loaded from AIOmarRehan/Vehicles on Hugging Face

This unified application allows real-time comparison of three different deep learning models to understand their individual strengths and weaknesses.