Downloads · 30 days
0
Aegis-ChequeGuard-ResNet50
sourav-paramanya/Aegis-ChequeGuard-ResNet50
Aegis-ChequeGuard-ResNet50 is a image classification model from sourav-paramanya. Use it when you need a label for an image. The card lists the license as mit.
An advanced, production-ready computer vision model designed to classify and authenticate bank cheques as Real or Fake/Photocopy with high precision.
Access
Public
Updated Aug 9, 2026
Repo size
96.7 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pth96.5 MB · 100%
At a glance
- Task
- Image Classification
- License
- mit
- Access
- Public
- Created
- Aug 9, 2026
- Updated
- Aug 9, 2026
- SHA
- 38db9fcc
Model card
From the Hugging Face model README
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.
- Task
- Image Classification
- License
- mit
- Created
- Aug 9, 2026
- Updated
- Aug 9, 2026