both of them are used for annotation and label.
you can generate your own database using those.
and more interesting thing would be inspired by it, e.g. the automatic plane recognizing
vatic use turkic, which is a tool for amazon turk work, to manage workers and extract videos.
after the video extracted, frames, as photo(.jpg) group by 100 are generated.
track.js in source code could explain most of the amazing things this framework do. python in vatic is just a backend server.
labelme focus on images, it can draw much more different polygons as thing’s shape
本文介绍了一种用于创建自定义数据库的标注工具和技术,重点介绍了如何利用这些工具进行图像和视频内容的标注与识别,包括自动飞机识别和使用Vatic等工具从视频中提取帧并进行管理。
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