Batch Document Image Processing With Token Level Confidence Scoring

via “batch image processing with transformer inference optimization”

image-to-text model by undefined. 75,19,420 downloads.

Unique: Leverages transformer-specific optimizations (flash attention, fused kernels) combined with quantization-aware training to achieve 3-4x throughput improvement over naive batching, while maintaining accuracy within 1-2% of full-precision inference

vs others: Outperforms traditional OCR engines (Tesseract) on batch processing due to GPU acceleration and transformer efficiency, while being more deployable than cloud APIs that charge per-image and introduce network latency