The Q&A was also satisfactory, and the class was great, needless to say. I will try to challenge myself in various competitions based on what I learned!! Thank you.

knw4071421

This course will help you become a deep learning-based computer vision expert needed in the field through in-depth theoretical explanations of Object Detection and Segmentation, along with practical examples that can be immediately applied in real-world work environments.

dooleyz3525

[Revised Edition] Deep Learning Computer Vision Complete Guide

Deep Learning(DL)

딥러닝

컴퓨터비전

딥러닝컴퓨터비전완벽가이드

mmdetection

MMDetection

yolo

입문

초급

중급이상

파이썬

Python

Machine Learning(ML)

Computer Vision(CV)

강의 소개 및 실습 환경 구축하기

Object Detection의 이해

Object Detection과  Segmentation을 위한 주요 데이터 세트 및  OpenCV 소개

RCNN 계열 Object Detecter(RCNN, SPPNet, Fast RCNN, Faster RCNN)

MMDetection의 이해와 Faster RCNN 적용 실습 - 01

MMDetection의 이해와 Faster RCNN 적용 실습 - 02

SSD(Single Shot Detector)

SSD 실습

YOLO(You Only Look Once)

Ultralytics Yolo 실습 - 01

Ultralytics Yolo 실습 - 02

RetinaNet 과 EfficientDet

Segmentation - Mask RCNN

Mask RCNN - 실습 01

Mask RCNN - 실습 02

[deprecated - 패키지 지원 중단으로 2026.03.01 삭제 예정] AutoML EfficientDet 실습 - 01

[deprecated - 패키지 지원 중단으로 2026.03.01 삭제 예정] AutoML EfficientDet 실습 - 02

구버전 Tensorflow Object Detection API(개정판 출시에 따라 해당 섹션은 한달 뒤(2021-08-06) 삭제될 예정입니다)