metadata
license: mit
tags:
- image-classification
- fraud-detection
- cheque-verification
- onnx
- pytorch
- computer-vision
metrics:
- accuracy
Aegis ChequeGuard: Real vs. Fake Cheque Verification Engine 🛡️
An advanced, production-ready computer vision model designed to classify and authenticate bank cheques as Real or Fake/Photocopy with high precision.
🚀 Model Details
- Architecture: ResNet50 (Transfer Learning with custom classification head)
- Task: Binary Image Classification (Real Cheque vs. Fake Cheque)
- Formats Available: PyTorch (
.pth) and Cross-Platform Optimized (.onnx) - Training Data: Augmented financial document dataset optimized for real-world variations.
📂 Files Included
best_augmented_cheque_model.pth: PyTorch trained model weights.cheque_verification_model.onnx: Exported ONNX model optimized for edge devices, mobile apps, and fast CPU/GPU inference.