Transforming OCR Accuracy: A Case Study on Custom Dataset Collection | |
This case study explores how custom dataset collection significantly enhanced the accuracy and efficiency of Optical Character Recognition (OCR) systems. By gathering high-quality, domain-specific images, we were able to fine-tune OCR algorithms, resulting in improved text recognition accuracy across various languages and formats. The study highlights the process, challenges, and outcomes of developing a robust dataset tailored to the client's needs, demonstrating how targeted data collection can drive substantial improvements in OCR performance. | |
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Target State: All States Target City : All Cities Last Update : Aug 14, 2024 3:15 AM Number of Views: 81 | Item Owner : Globose technology solutions Contact Email: (None) Contact Phone: (None) |
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