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    Object detection - Wikipedia

    Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. Well-researched domains of object detection include face detection and … See more

    Every object class has its own special features that help in classifying the class – for example all circles are round. Object class detection uses these special features. For … See more

    Methods for object detection generally fall into either neural network-based or non-neural approaches. For non-neural approaches, it becomes necessary to first define features using … See more

    • Weng, Lilian (2017-10-29). "Object Detection for Dummies Part 1: Gradient Vector, HOG, and SS". lilianweng.github.io. Retrieved 2024-09-11.
    • Weng, Lilian (2017-12-15). "Object Detection for Dummies Part 2: CNN, DPM and Overfeat" See more

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    For object localization, true positive is often measured by the thresholded intersection over union. For example, if there is a traffic sign in the image, with a bounding box drawn … See more

     
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  3. What is YOLOv4? A Detailed Breakdown. - Roboflow Blog

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