Sample data labeling method and device for machine learning

A sample data and machine learning technology, applied in image data processing, instruments, etc., can solve problems such as difficulty and low efficiency, and achieve the effect of rapid labeling, improving labeling efficiency, and improving efficiency

Active Publication Date: 2019-08-16
MOMENTA SUZHOU TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is difficult to label the three-dimensional bounding box, and the labeler needs to make multiple adjustments
Faced with a large amount of complex laser point cloud data, this method of labeling data is inefficient

Method used

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  • Sample data labeling method and device for machine learning
  • Sample data labeling method and device for machine learning
  • Sample data labeling method and device for machine learning

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Embodiment Construction

[0081] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0082] It should be noted that the terms "include" and "have" and any variations thereof in the embodiments of the present invention and the drawings are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally further includes For other steps or units inhe...

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Abstract

The embodiment of the invention discloses a sample data labeling method and device for machine learning. The method comprises the steps of obtaining laser point cloud data to be labeled; displaying the laser point cloud data in a two-dimensional overlook interface according to a first mapping relation between a two-dimensional overlook coordinate system and a three-dimensional coordinate system; obtaining a first labeling operation input by aiming at the laser point cloud data displayed on the two-dimensional overlook interface; determining a bounding box corresponding to the first labeling operation according to the three-dimensional coordinates of the laser point cloud data; determining marking information corresponding to the laser point cloud data according to the bounding box, whereinthe three-dimensional coordinate system is a coordinate system where the laser point cloud data is located, and the two-dimensional overlook interface corresponds to the two-dimensional overlook coordinate system. By applying the scheme provided by the embodiment of the invention, the efficiency of marking the laser point cloud data can be improved.

Description

technical field [0001] The present invention relates to the technical field of intelligent driving, in particular to a method and device for labeling sample data in machine learning. Background technique [0002] Laser point cloud data is the type of data returned by lidar, and laser point cloud includes a large amount of laser point data. Lidar can be installed in smart vehicles, robots and other equipment, and is used to determine the obstacle information around the equipment based on the laser point cloud data collected around the equipment. [0003] The currently collected laser point cloud data is too much and complex to be used directly. It needs to be manually identified and marked. The marked laser point cloud data can be used as sample data for the development of machine learning algorithms. In actual operation, it is usually necessary to mark the three-dimensional bounding box of the object in the three-dimensional interface. It is more difficult to label the thr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T19/20
CPCG06T19/20G06T2219/004
Inventor 韩嘉杰袁彬白宇利
Owner MOMENTA SUZHOU TECH CO LTD
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