Image annotation method, device, electronic equipment and storage medium
An image labeling and image technology, applied in the field of computer vision, can solve the problems of labeling errors, sample data labeling efficiency, low labeling accuracy, and difficulty in modification.
Pending Publication Date: 2020-08-14
BEIJING SENSETIME TECH DEV CO LTD
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[0002] The rapid advancement of deep learning technology has greatly improved the effect of applications in the field of remote sensing. With more and more application purposes, there are more and more requirements for labeling training data. However, the current image labeling tools are designed to target vehicles. , pedestrians, bicycles and other common targets, and for the remote sensing images involved in the field of remote sensing, since the remote sensing images themselves cover a lot of ground cover, and the distribution of the ground cover is more complicated, in the process of labeling such remote sensing images, It is easy to make labeling errors and it is difficult to modify after labeling errors, resulting in low labeling efficiency and labeling accuracy of sample data
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[0053] In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only It is a part of the embodiments of the present disclosure, but not all of them. The components of the disclosed embodiments generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed disclosure, but merely represents selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those ski...
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The invention provides an image annotation method, a device, electronic equipment and a storage medium. The method comprises the following steps: obtaining and displaying a remote sensing image and anannotation image corresponding to the remote sensing image; if it is detected that a first annotation option corresponding to the first ground cover type is triggered, determining that the first annotation option is triggered; if yes, in response to the annotation operation on the remote sensing image, rendering a first annotation layer corresponding to the first surface cover type in the annotation image by using a first annotation style corresponding to the first annotation option to obtain an annotated target image; wherein the annotation patterns and the annotation layers corresponding todifferent earth surface covering object types are different, and the first earth surface covering object type is any one of the different earth surface covering object types.
Description
technical field [0001] The present disclosure relates to the technical field of computer vision, and in particular, to an image labeling method and device. Background technique [0002] The rapid advancement of deep learning technology has greatly improved the effect of applications in the field of remote sensing. With more and more application purposes, there are more and more requirements for labeling training data. However, the current image labeling tools are designed to target vehicles. , pedestrians, bicycles and other common targets, and for the remote sensing images involved in the field of remote sensing, since the remote sensing images themselves cover a lot of ground cover, and the distribution of the ground cover is more complicated, in the process of labeling such remote sensing images, It is easy to make labeling errors and it is difficult to modify after labeling errors, resulting in low labeling efficiency and labeling accuracy of sample data. Contents of t...
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Login to View More IPC IPC(8): G06K9/62G06K9/00G06N3/08G06F3/0482G06F3/0484
CPCG06N3/08G06F3/0482G06F3/0484G06V20/188G06F18/40G06F18/214
Inventor 许鑫汉彭瑶瑶裴真其他发明人请求不公开姓名
Owner BEIJING SENSETIME TECH DEV CO LTD