Abstract
In order to solve the problem of slow speed and low efficiency of product defect detection, this paper proposes an improved Fully Convolutional One-Stage Object Detection (FCOS) algorithm for detection, and compares it with several currently widely used target detection algorithms. Through experimental verification, the improved Fully Convolutional One-Stage Object Detection (FCOS) has improved the detection effect by 6.9% compared with the original Fully Convolutional One-Stage Object Detection (FCOS) algorithm, and the applicability of the improved Fully Convolutional One-Stage Object Detection algorithm is verified through experiments.
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