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fp16-optimization

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High-performance LPR system optimized for Indian license plates, achieving 97% character accuracy. Features a hybrid pipeline using YOLOv11 and Mamba-SSM (State Space Models) with built-in regex correction and Beam Search decoding.

  • Updated Dec 17, 2025
  • Jupyter Notebook

Successfully developed a lightweight YOLOv8n structural defect detector trained on 8,162 images across 7 defect classes, converted to ▎ TensorRT FP16 for edge deployment achieving 157.6 FPS — a 40.7% speedup over the FP32 baseline with under 1% accuracy loss.

  • Updated Jun 7, 2026
  • Jupyter Notebook

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