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6_tf2_object_detection's Introduction

KR>

해당 저장소는 객체 감지에 관련된 데이터셋들과 샘플 코드들이 있다.

해당 저장소에 있는 폴더의 구조와 동일하게 구성하세요.

Dataset 들의 위치를 가진 파일들 때문에 폴더의 구조가 변경이 되면 에러가 날수 있습니다.

해당 저장소의 파일들은 개발자들이 개발하는 객체 감지용 프로그램을 customizing 하는데 사용하면 유용 합니다.

많은 데이터들이 용량이 크고 파일의 숫자가 대부분은 필자가 운영중인 Google Drive 링크를 통하여 다운로드 받으면 된다.

Yolo_V3_from_dir_1, Yolo_V3_from_tf_record, Yolo_V4_from_dir_1, Yolo_V4_from_dir_2 폴더 에는 sample code들이 있다.

데이터셋의 크기

  • 1K : 1000 training set
  • 14K : 13700 training set
  • 117K : 117000 training set

객체감지 대이터셋들을 위한 유틸리티 모음

개발하고자하는 dataset들을 커스터마이징 하는데 유용한 툴들 입니다.

https://github.com/RichardMinsooGo-ML/7_TF2_Object_Detection_Utils

EN>

This repository have datasets for Object Dedection, and also have sample codes.

Please compose with same folder structure like this repositories.

Datasets have the paths, so if you modify the folder structure, it might cause the error.

This repository data can be customizing your programs.

Due to the file size and number, you can download most of data from my Google Drive throuh link.

There are sample codes at Yolo_V3_from_dir_1, Yolo_V3_from_tf_record, Yolo_V4_from_dir_1, Yolo_V4_from_dir_2 folders.

size of datasets

  • 1K : 1000 training set
  • 14K : 13700 training set
  • 117K : 117000 training set

Utils for generation of object detection datasets

At below link, you can fins the useful tools for the customizing of your datasets.

https://github.com/RichardMinsooGo-ML/7_TF2_Object_Detection_Utils

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