In this post, we delve deeper into the inference optimization process to improve the performance and efficiency of our machine learning models during the inference stage. We discuss the techniques employed, such as inference computation graph simplification, quantization, and lowering precision. We also showcase the benchmarking results of our scene text detection and recognition models…
]]>To make scene text detection and recognition work on irregular text or for specific use cases, you must have full control of your model so that you can do incremental learning or fine-tuning as per your use cases and datasets. Keep in mind that this pipeline is the main building block of scene understanding, AI-based inspection, and document processing platforms. It should be accurate and have low…
]]>Identification and recognition of text from natural scenes and images become important for use cases like video caption text recognition, detecting signboards from vehicle-mounted cameras, information retrieval, scene understanding, vehicle number plate recognition, and recognizing text on products. Most of these use cases require near real-time performance. The common technique for text…
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