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Object Detection Methods in ML by 23d153 is a document available to read on EtoBox.

Object detection is a vital computer vision task that identifies and localizes multiple objects within images or videos, combining classification and localization. Various methods exist, including traditional techniques like Haar Cascades and Histogram of Oriented Gradients (HOG), as well as modern deep learning approaches such as YOLO and Faster R-CNN. Applications span across fields like autonomous driving, security, healthcare, and retail, addressing challenges like occlusion and varying object sizes.

Author

23d153

Language

EN