当前位置：网站首页>How to get started with YOLO?How to implement your own training set?

How to get started with YOLO?How to implement your own training set?

2022-08-01 01:09:00 【Program Yuan Keke】

YOLO is an object detection model.

Object detection is a relatively simple task in computer vision. It is used to find some specific objects in a picture. Object detection not only requires us to identify the properties of these objectstypes, and requires us to mark the location of these objects.

Clearly, categories are discrete data and locations are continuous data.

In the picture above, there are three types of tasks in computer vision: classification, target detection, and instance segmentation.

Obviously, these three types of tasks as a whole range from easy to difficult, and the object detection we are going to discuss is in the middle.The previous classification task is the basis for our target detection. As for pixel-level instance segmentation, it is too difficult to think about.

If you want to get started with YOLO, my suggestion is to watch the video. There are many free courses on station B. Here is one recommended:

After learning YOLO, you can do a lot of outrageous things [the most complete YOLO tutorial at station B] YOLOv1/v2/v3/v4/v5/v6/v7/target detection/image processing/artificial intelligence/AI/algorithm/deep learning_Bilibili_bilibili

Free to share some artificial intelligence learning materials that I have organized for everyone. It has been organized for a long time and is very comprehensive.Including some basic introduction videos of artificial intelligence + practical videos of common AI frameworks, image recognition, OpenCV, NLQ, YOLO, machine learning, pytorch, computer vision, deep learning and neural networks and other videos, courseware source code, domestic and foreign well-known essence resources, AI popularpapers, etc.
The following are some screenshots, and the free download method is attached at the end of the article.

Table of Contents