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Object Detection Using Facebook's Detectron2(으)로 돌아가기

Coursera Project Network의 Object Detection Using Facebook's Detectron2 학습자 리뷰 및 피드백

4.3
별점
11개의 평가

강좌 소개

In this 2-hour long project-based course, you will learn how to train an Object Detection Model using Facebook's Detectron2. Detectron2 is a research platform and a production library for deep learning, built by Facebook AI Research (FAIR). We will be building an Object Detection Language Identification Model to identify English and Hindi texts written which can be extended to different use cases. We will look at the entire cycle of Model Development and Evaluation in Detectron2. We will first look at how to load a dataset, visualize it and prepare it as an input to the Deep Learning Model. We will then look at how we can build a Faster R-CNN model in Detectron2 and customize it. We will then configure the parameters & hyperparameters of the model. We will then move on to training the Model and subsequently to model inference and evaluation. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
필터링 기준:

Object Detection Using Facebook's Detectron2의 2개 리뷰 중 1~2

교육 기관: Anastasia I

2021년 6월 1일

교육 기관: Fatimah A

2022년 6월 14일