It's super helpful. The good practice examples were a big help ^^

yoonducklim0908

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

인프런 10주년! 사랑주간 전체 할인

[Revised Edition] Deep Learning Computer Vision Complete Guide

입문

초급

중급이상

Machine Learning(ML)

텐서플로

Tensorflow

파이썬

Python

Deep Learning(DL)

케라스

Keras

Course Intro and Lab Setup

Understanding Object Detection

Major Datasets and Introduction to OpenCV for Object Detection and Segmentation

RCNN series Object Detector (RCNN, SPPNet, Fast RCNN, Faster RCNN)

Understanding MMDetection and Applying Faster RCNN Practice - 01

Understanding MMDetection and Practical Application of Faster RCNN - 02

SSD(Single Shot Detector)

SSD Practice

YOLO(You Only Look Once)

Ultralytics Yolo Practice - 01

Ultralytics Yolo Practice - 02

RetinaNet and EfficientDet

AutoML EfficientDet Hands-on - 01

AutoML EfficientDet Lab - 02

Segmentation - Mask RCNN

Mask RCNN - Lab 01

Mask RCNN - Lab 02

Old version Tensorflow Object Detection API (This section will be deleted in one month (2021-08-06) following the revised edition release)