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Table of Contents Achieving Optimal Speed and Accuracy in Object Detection (YOLOv4)
Generate arbitrary queries matching your GraphQL schema, and use them to verify your backend implementation.
Detection frameworks have become increasingly fast and accurate, as seen in our last post on YOLOv1; however, most detection methods are still constrained to a small set of objects like 20 classes in PASCAL VOC and 80 classes in Microsoft COCO.
Table of Contents Understanding a Real-Time Object Detection Network: You Only Look Once (YOLOv1)
Table of Contents Text Detection and OCR with Microsoft Cognitive Services Microsoft Cognitive Services for OCR
In this tutorial, you will learn to improve text detection speed with OpenCV and GPUs.
In this tutorial, you will learn how to OCR video streams. This lesson is part 3 of a 4-part series on Optical Character Recognition with Python
In this tutorial, you will: Discover a technique for associating rows and columns together Learn how to detect tables of text/data in an image