良い講義ありがとうございます。

ywydpapa

この講義では、オブジェクト検出とセグメンテーションに関する詳細な理論の説明と、現場で即座に使用できるレベルの実習例を通じて、現場で必要なディープラーニングベースのコンピュータービジョン専門家として皆さんを育成します。

dooleyz3525

[改訂版] ディープラーニングコンピュータビジョン完全ガイド

This course will help you become a deep learning-based computer vision expert who is needed in the field by providing a deep theoretical explanation of object detection and segmentation and practical examples that can be used immediately in the field.

입문

초급

중급이상

Machine Learning(ML)

텐서플로

Tensorflow

파이썬

Python

Deep Learning(DL)

케라스

Keras

[Revised Edition] A Complete Guide to Deep Learning Computer Vision

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)