A method for auto-labeling a training image to be used for learning a deep learning network that analyzes a high-precision image, and an auto-labeling device using this {METHOD FOR AUTO-LABELING TRAINING IMAGES FOR USE IN DEEP LEARNING NETWORK TOAL IMAGES WITH HIGH PRECISION, AND AUTO-LABELING DEVICE USING THE SAMEM}

摘要

PROBLEM TO BE SOLVED: To provide a method for auto-labeling a training image to be used for learning a neural network for achieving high precision.;SOLUTION: A method includes the steps of: an auto-labeling device (a) instructing a meta ROI detection network to generate a feature map and to acquire n current meta ROIs, on the specific training image, grouped according to each of locations of each of the objects; and (b) generating n manipulated images by cropping regions, corresponding to the n current meta ROIs, on the specific training image, to output each of n labeled manipulated images having each of bounding boxes for each of the n manipulated images, and generating a labeled specific training image by merging the n labeled manipulated images.;SELECTED DRAWING: Figure 2;COPYRIGHT: (C)2020,JPO&INPIT