YOLOV5 semi-automatic annotation tool (Based on labelImg)

Detect known and unknown objects in the open world（具有区分已知与未知能力的全新检测器））

A bot for managing Github issues. Currently only supports approving and autolabeling newly created issues, more ideas in the works. Provided as is, no maintenance beyond my own needs, no support.

The toolkit to generate auto labeled datasets

use DL model automatically label image

ODLabel is a powerful tool for zero-shot object detection, labeling and visualization. It provides an intuitive graphical user interface for labeling objects in images using the YOLO-World model and supports various output formats such as YOLO, COCO, CSV, and XML.

Yolo autolabel. It can export the dataset to CVAT format for editing or exporting to another format

AutoLabel Image as Txt on Yolov7/Yolov5 Using Pre-Train Model

滚动字幕

a program to label circle automatically

기존의 yolov7에서 학습한 모델을 이용하여 데이터셋에 경계박스 좌표를 labelme형식으로 내보내주는 기능을 추가하였습니다