Chevron Left
Perform Real-Time Object Detection with YOLOv3(으)로 돌아가기

Rhyme의 Perform Real-Time Object Detection with YOLOv3 학습자 리뷰 및 피드백

3.5
별점
42개의 평가
13개의 리뷰

강좌 소개

In this 1-hour long project-based course, you will perform real-time object detection with YOLOv3: a state-of-the-art, real-time object detection system. Specifically, you will detect objects with the YOLO system using pre-trained models on a GPU-enabled workstation. To apply YOLO to videos and save the corresponding labelled videos, you will build a custom command-line application in Python that employs a pre-trained model to detect, localize, and classify objects. It will use OpenCV to read the video streams, draw bounding boxes around detected objects, label the objects along with confidence scores, and save the labelled videos to disk. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and Keras pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - 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:

Perform Real-Time Object Detection with YOLOv3의 14개 리뷰 중 1~14

교육 기관: NARESH K K J

Apr 08, 2020

While start learning it seems to very difficult and i cant the follow the instruction on both the side by practicing it seems to easy and learnt a new stream techonolgy from this course ,I thank who support for me

Thank you😊😊

교육 기관: Md. H H

May 11, 2020

It is very much helpful for my new project call face recognition.if u are interested in doing computer vision types work this course may help you.

교육 기관: shivam k k

May 16, 2020

It was nice

교육 기관: Yaswanth K

May 10, 2020

one of the best yolo classes for beginners

교육 기관: Mukund N

Apr 27, 2020

I couldnt complete the quiz and get my grade because the quiz is NOT about object detection but rather facial expression detection using Keras and OpenCV :(

교육 기관: Muhammad F

May 04, 2020

It was not exactly what I expected. But the instructor is good and explained everything well.

교육 기관: Sri H K B

May 16, 2020

Needed more in depth explanation of the written python code

교육 기관: Ansuman D

Apr 14, 2020

quiz was not about the project

교육 기관: Shoumik D

Apr 11, 2020

The yolov3 python file was missing. Couldn't complete the entire project. The graded quiz was on 'facial recognition' whereas the project was on 'object detection with YOLOv3'

교육 기관: Shubhkarmandeep K

Apr 20, 2020

Not enough knowledge was provided

교육 기관: Muhammad M

May 08, 2020

Did not get anything other than getting to know what commands to enter into the terminal to run the code. The commands are already there on the darknet website but I am not sure why the fuck is this course designed like this to waste your time and get nothing out of this project.

교육 기관: Рюмин Д

May 23, 2020

The course does not match the description. The authors of the course declare in the description of topics that in fact have not been touched at all. Maybe my link was different, but so far I am very disappointed ...

교육 기관: Rhitvik S

May 02, 2020

The quiz is entirely unrelated to the project. Used to better from Coursera, this course is haphazardly structured.

교육 기관: Tanmoy B

Apr 05, 2020

most apathetic instructor