| language: [hi, ta, bn, kn] | |
| tags: [image-classification, handwriting-recognition, indian-scripts, pytorch] | |
| license: mit | |
| # Multi-Script Router — T3.7 | |
| A compact CNN (~330k parameters) that classifies handwritten characters | |
| into **four Indian scripts**: Devanagari, Tamil, Bengali, and Kannada. | |
| ## Architecture | |
| - 3 × ConvBlock (residual skip connections) | |
| - Global Average Pooling → FC 128 → 256 → 4 | |
| - Input: 32×32 grayscale | |
| ## Training | |
| | Metric | Value | | |
| |--------|-------| | |
| | Best val acc | 78.36% | | |
| | Test acc | 83.16% | | |
| | Epochs | 15 | | |
| | Batch size | 128 | | |
| | Optimizer | AdamW + CosineAnnealing | | |
| ## W&B Run | |
| Training logged at: <https://wandb.ai/models-iiit-hyderabad6183/mnist> | |