CN111723225A - Image data annotation method - Google Patents
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- CN111723225A CN111723225A CN202010385771.2A CN202010385771A CN111723225A CN 111723225 A CN111723225 A CN 111723225A CN 202010385771 A CN202010385771 A CN 202010385771A CN 111723225 A CN111723225 A CN 111723225A
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Abstract
The invention discloses an image data labeling method. Opening image data annotation software on a terminal, and entering the software to register a user; and carrying out authority management according to the user registration information, wherein account authorities are divided into three types: a system administrator, a label maker and an auditor user log in a mailbox + password or account + password mode, and different user interfaces are distributed according to account authority during logging in; after logging in a user interface, a system administrator uploads a picture, manages the relationship between a annotator and an auditor, checks the operation traces of the annotator and the auditor, checks the annotation condition of the annotator and derives an audited annotated picture; the marking personnel receives and marks the marking task; and the auditor acquires the task list of the annotation personnel, audits the annotation pictures in the task list, judges the annotation task according to the audit result of the annotation pictures, and updates the judgment result to the state of the annotation task.
Description
The technical field is as follows:
the invention belongs to the technical field of image processing, and particularly relates to an image data annotation method.
Background art:
image processing is one of important research objects in the field of computer vision, and is widely applied to the fields of internet, industrial manufacturing and the like. With the large increase of the scale of image data, these industries need image data labeling methods and systems for effective management and application.
According to different types of image data annotators, the image data annotation method can be divided into two types of manual annotation and machine annotation. For the machine labeling method, the labeling person is an intelligent algorithm, and the computer performs data preprocessing, feature extraction, image recognition and the like on the labeled object through the intelligent algorithm, so that the image data is endowed with corresponding labels. The machine labeling method has the advantages that the operation speed of a computer is high, but the machine labeling method has the defect that the recognition accuracy of an intelligent algorithm is low due to the semantic gap between the bottom-layer features and the high-layer semantics of an image, so that the quality of image data labeling cannot well meet the requirement.
For the manual labeling method, the labeling person is a human, and data labeling is carried out by engaging experts with industry domain knowledge. In the manual labeling method, the accuracy of labeling is associated with a labeler, and even if a professional person is in the manual labeling method, the accuracy of labeling is gradually reduced along with the increase of time, so that a set of auditing mechanism needs to be designed to control the accuracy of manual labeling.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
The invention content is as follows:
the present invention is directed to a method for annotating image data, which overcomes the above-mentioned shortcomings of the prior art.
In order to achieve the above object, the present invention provides an image data labeling method, comprising the steps of:
(1) opening image data annotation software on a terminal, and entering the software to register a user;
(2) and carrying out authority management according to the user registration information, wherein account authorities are divided into three types: a system manager, a labeling person and an auditor;
(3) a user logs in through a mailbox + password or an account + password mode, and different user interfaces are distributed according to account authority during logging in;
(4) after logging in a user interface, a system administrator uploads the picture to software and verifies the uploaded picture; managing the relationship between the annotator and the auditor, checking the operation traces of the annotator and the auditor, checking the annotation condition of the annotator, and exporting an audited annotation picture;
(5) after logging in a user interface, a marking person receives a marking task from a task list, selects the marking task from the task list to view relevant conditions, marks pictures to be marked in the marking task, returns to the task list after marking of all the pictures is completed, and simultaneously modifies the task state to be marked, and then continues to receive the next task;
(6) and after the auditor logs in the user interface, acquiring a task list of the annotation personnel, auditing the annotation picture in the task list, judging the annotation task according to the auditing result of the annotation picture, wherein the judgment is divided into passing and refusing, and the judgment result is updated to the state of the annotation task.
Preferably, in the technical scheme, the registered users in the step (1) are divided into enterprise users and ordinary users, and the registration needs to be bound with personal real mailboxes.
Preferably, in the technical scheme, in the step (4), the system administrator user interface includes an upload picture module, a picture library management module, a personnel management module, a log management module, a task management module and a picture export module; the image uploading module is used for uploading the image to be marked; the picture library management module is used for screening pictures, screening uploaded pictures and deleting pictures with picture quality not meeting the standard; the personnel management module is used for managing and adjusting the relationship between the annotating personnel and the auditors; the log management module checks the operation of the system by the annotator and the auditor through the log list; the task management module checks the details of the tasks marked by the marking personnel through the task list; and the image export module exports the audited labeling tasks in batches to generate a compressed packet, wherein the compressed packet comprises the labeling images and related information.
Preferably, in the technical scheme, in the step (5), the user interface of the annotation personnel comprises a task management module and an annotation module; the system automatically allocates one task, the successfully received task is displayed in a task list, and each task has the functions of checking details and marking; if the current task is not finished, the task cannot be picked up; each task has six states: marking, marking completion, auditing, task rejection, auditing passing and task export; the task details comprise detailed information, a labeling state and a large graph checking function of each picture in the task; the annotation personnel annotate the pictures in the tasks through the annotation module, and the picture annotation page is divided into a left side column, a central area and a right side column; the left side column controls the configuration of the label and comprises functions of a configured label tool, a moving picture, an auxiliary line, the adjustment of the color of a label frame and the filling of transparency; the central area is a marked main body area, and data coordinates required to be collected are picked up through upper-layer operation on the picture; the right side column correspondingly selects the attribute corresponding to each frame, and the frames and the attributes are in one-to-one correspondence; and after the marking of the whole picture is finished, submitting all the data, automatically switching to the next picture, automatically returning to a task list after the marking of all the pictures is finished, and simultaneously modifying the task state to be the marking completion, and continuously getting the next task.
Preferably, in the technical scheme, in the step (5), when the annotating personnel annotate the pictures in the task in the annotation module, the annotation mode includes rectangular annotation and polygonal annotation; when the rectangle marking is operated, clicking a left mouse button to drag and pull out a rectangle frame, displaying the rectangle frame on a marked picture, and arranging an X deletion key at the upper right corner of the rectangle frame; when the polygon marking operation is carried out, firstly, the polygon is selected, the corresponding number is selected on the keyboard according to the number of the polygon for inputting, the left button of the mouse is clicked for sliding, the corresponding polygon frame is formed, and the upper right corner of the polygon frame is provided with an X deletion key.
Preferably, in the technical scheme, in the step (6), the auditor user interface includes a task management module and an audit module; auditors get the audit tasks through the task management module, and one task can be randomly selected from the tasks which are labeled, so that the coupling between the labeling personnel and the auditors is reduced; each audit task provides details and an audit function, and the audit details comprise detailed information, a labeling state and a large picture viewing function of each picture in the task; the auditor audits the marked picture in the task through the audit module, the current picture and the marked area of the marker are displayed in the audit module, after the auditor selects the designated frame, the designated frame can display different colors, and meanwhile, the right side can display the attribute of the selected frame; if the auditor considers that the selected frame does not meet the labeling requirement, the reason can be explained and the selected frame is rejected, if the reason does not exist in the options, the auditor can add the reason for rejection in a self-defined manner, and after the addition is completed, the reason option for rejection of the right side fence is updated in real time for the auditor to select; and (4) allowing the auditor to reject all the frames which are not in accordance with the operation, allowing the remaining frames which are not in operation to pass by default, automatically completing the audit task after the auditor processes all the pictures, and rejecting the task together if rejected frames exist in the task, wherein the rejected frames of the task need to be re-modified by the annotator.
Preferably, in the technical scheme, the box that the auditor passes the audit is displayed in green, and the box rejected is displayed in red.
Preferably, in the technical scheme, the annotating personnel receives the rejected task, the selection of the middle frame on the annotation picture in the task can display the rejection reason and the attribute selected in the first previous annotation on the right side column, and the annotating personnel modifies the frame or the attribute according to the rejection reason and submits the frame or the attribute; and (4) carrying out secondary audit on the task by an auditor, and continuously repeating the process until the label is completely passed.
An application system of an image data annotation method comprises the following steps: the system comprises a terminal, a static file server, an application server and a database; the terminal is provided with image data annotation software adopting a B/S framework and used for uploading, annotating and managing the image through the image data annotation software; the static file server is connected with the terminal through an API interface and used for returning a static file according to the request of image data annotation software on the terminal; the application server is respectively connected with the terminal and the database through an API (application programming interface) interface and is used for returning a data file according to the request of image data annotation software on the terminal; the database is MySQL and is used for storing application server data.
Preferably, in the technical scheme, the application server is a picture application server tomcat.
Compared with the prior art, the invention has the following beneficial effects:
the image data annotation method is used for classifying users, a system administrator sets a picture annotation standard, an annotation person annotates a picture according to the standard, an audit person audits the annotated picture, the accuracy of picture annotation is improved through interaction between the audit person and the annotation person, and the efficiency of image data annotation is improved through the monitoring of a task audit process by the system administrator.
Description of the drawings:
FIG. 1 is a schematic flow chart of an image data annotation method according to the present invention;
FIG. 2 is a schematic diagram of a rectangular labeling box according to the present invention;
FIG. 3 is a schematic view of a polygon marking box according to the present invention;
FIG. 4 is a diagram illustrating a picture audit pass box according to the present invention;
FIG. 5 is a schematic structural diagram of an application system of the image data annotation method of the present invention.
The specific implementation mode is as follows:
the following detailed description of specific embodiments of the invention is provided, but it should be understood that the scope of the invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Example 1
As shown in fig. 1, an image data annotation method includes the steps of:
(1) opening image data annotation software on a terminal, and entering the software to register a user; the registered users are divided into enterprise users and ordinary users, and the registration needs to be bound with personal real mailboxes.
(2) And carrying out authority management according to the user registration information, wherein account authorities are divided into three types: a system manager, a labeling person and an auditor;
(3) a user logs in through a mailbox + password or an account + password mode, and different user interfaces are distributed according to account authority during logging in;
(4) after a system administrator logs in a user interface, the user interface of the system administrator comprises an uploading picture module, a picture library management module, a personnel management module, a log management module, a task management module and a picture export module; uploading the pictures to software through an uploading picture module, wherein a picture library management module is used for screening the pictures, screening the uploaded pictures and deleting the pictures with picture quality not meeting the standard; managing the relationship between the annotating personnel and the auditors through a personnel management module, checking the operation traces of the annotating personnel and the auditors on the system through a log list by the log management module, checking the details of tasks annotated by the annotating personnel through the task list by the task management module, exporting the audited annotation tasks in batches by a picture export module to generate a compressed packet, wherein the compressed packet comprises an annotation picture and related information;
(5) after a marking person logs in a user interface, the user interface of the marking person comprises a task management module and a marking module; the system automatically allocates one task, the successfully received task is displayed in a task list, and each task has the functions of checking details and marking; if the current task is not finished, the task cannot be picked up; each task has six states: marking, marking completion, auditing, task rejection, auditing passing and task export; the task details comprise detailed information, a labeling state and a large graph checking function of each picture in the task; the annotation personnel annotate the pictures in the tasks through the annotation module, and the picture annotation page is divided into a left side column, a central area and a right side column; the left side column controls the configuration of the label and comprises functions of a configured label tool, a moving picture, an auxiliary line, the adjustment of the color of a label frame and the filling of transparency; the central area is a marked main body area, and data coordinates required to be collected are picked up through upper-layer operation on the picture; the right side column correspondingly selects the attribute corresponding to each frame, and the frames and the attributes are in one-to-one correspondence; when a marking person marks the picture in the task in the marking module, the marking mode comprises rectangular marking and polygonal marking; when the rectangle marking is operated, clicking a left mouse button to drag and pull out a rectangle frame, displaying the rectangle frame on the marked picture, and setting an X deletion key at the upper right corner of the rectangle frame as shown in FIG. 2; when the polygon marking operation is performed, firstly selecting a polygon, selecting corresponding number input on a keyboard according to the number of the polygon, clicking a left button of a mouse to slide to form a corresponding polygon frame, and arranging an X deletion button at the upper right corner of the polygon frame as shown in FIG. 3; after the marking of the whole picture is finished, submitting all data, automatically switching to the next picture, automatically returning to a task list after the marking of all pictures is finished, and simultaneously modifying the task state to be the marking completion, and continuously getting the next task;
(6) after the auditor logs in the user interface, the auditor user interface comprises a task management module and an audit module; auditors get the audit tasks through the task management module, and one task can be randomly selected from the tasks which are labeled, so that the coupling between the labeling personnel and the auditors is reduced; each audit task provides details and an audit function, and the audit details comprise detailed information, a labeling state and a large picture viewing function of each picture in the task; the auditor audits the marked picture in the task through the audit module, the current picture and the marked area of the marker are displayed in the audit module, after the auditor selects the designated frame, the designated frame can display different colors, and meanwhile, the right side can display the attribute of the selected frame; if the auditor considers that the selected frame does not meet the labeling requirement, the reason can be explained and the selected frame is rejected, if the reason does not exist in the options, the auditor can add the reason for rejection in a self-defined manner, and after the addition is completed, the reason option for rejection of the right side fence is updated in real time for the auditor to select; the auditor rejects all the frames which do not conform to the image, the remaining frames which are not operated pass by default, as shown in fig. 4, the frames which are approved by the auditor are displayed in green, the rejected frames are displayed in red, the auditor automatically completes the audit task after processing all the images, if the rejected frames exist in the task, the task is rejected together, and the annotator needs to revise the rejected frames of the task; the marking personnel receives the rejected task, the middle frame selected on the marking picture in the task can show the rejection reason and the attribute selected in the first previous marking on the right side column, and the marking personnel modifies the frame or the attribute according to the rejection reason and submits the frame or the attribute; and (4) carrying out secondary audit on the task by an auditor, and continuously repeating the process until the label is completely passed.
As shown in fig. 5, an application system of an image data annotation method includes: the system comprises a terminal, a static file server, an application server and a database; the terminal is provided with image data annotation software adopting a B/S framework and used for uploading, annotating and managing the image through the image data annotation software; the static file server is connected with the terminal through an API interface and used for returning a static file according to the request of image data annotation software on the terminal; the application server is connected with the terminal and the database through an API (application programming interface) interface respectively, is a picture application server tomcat and is used for returning a data file according to a request of image data annotation software on the terminal; the database is MySQL and is used for storing application server data.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (10)
1. An image data labeling method comprises the following steps:
(1) opening image data annotation software on a terminal, and entering the software to register a user;
(2) and carrying out authority management according to the user registration information, wherein account authorities are divided into three types: a system manager, a labeling person and an auditor;
(3) a user logs in through a mailbox + password or an account + password mode, and different user interfaces are distributed according to account authority during logging in;
(4) after logging in a user interface, a system administrator uploads the picture to software and verifies the uploaded picture; managing the relationship between the annotator and the auditor, checking the operation traces of the annotator and the auditor, checking the annotation condition of the annotator, and exporting an audited annotation picture;
(5) after logging in a user interface, a marking person receives a marking task from a task list, selects the marking task from the task list to view relevant conditions, marks pictures to be marked in the marking task, returns to the task list after marking of all the pictures is completed, and simultaneously modifies the task state to be marked, and then continues to receive the next task;
(6) and after the auditor logs in the user interface, acquiring a task list of the annotation personnel, auditing the annotation picture in the task list, judging the annotation task according to the auditing result of the annotation picture, wherein the judgment is divided into passing and refusing, and the judgment result is updated to the state of the annotation task.
2. The image data annotation method according to claim 1, characterized in that: and (2) the registered users in the step (1) are divided into enterprise users and ordinary users, and the registration needs to be bound with personal real mailboxes.
3. The image data annotation method according to claim 1, characterized in that: in the step (4), the system administrator user interface comprises an uploading picture module, a picture library management module, a personnel management module, a log management module, a task management module and a picture export module; the image uploading module is used for uploading the image to be marked; the picture library management module is used for screening pictures, screening uploaded pictures and deleting pictures with picture quality not meeting the standard; the personnel management module is used for managing and adjusting the relationship between the annotating personnel and the auditors; the log management module checks the operation of the system by the annotator and the auditor through the log list; the task management module checks the details of the tasks marked by the marking personnel through the task list; and the image export module exports the audited labeling tasks in batches to generate a compressed packet, wherein the compressed packet comprises the labeling images and related information.
4. The image data labeling method according to claim 3, characterized in that: in the step (5), the user interface of the annotation personnel comprises a task management module and an annotation module; the system automatically allocates one task, the successfully received task is displayed in a task list, and each task has the functions of checking details and marking; if the current task is not finished, the task cannot be picked up; each task has six states: marking, marking completion, auditing, task rejection, auditing passing and task export; the task details comprise detailed information, a labeling state and a large graph checking function of each picture in the task; the annotation personnel annotate the pictures in the tasks through the annotation module, and the picture annotation page is divided into a left side column, a central area and a right side column; the left side column controls the configuration of the label and comprises functions of a configured label tool, a moving picture, an auxiliary line, the adjustment of the color of a label frame and the filling of transparency; the central area is a marked main body area, and data coordinates required to be collected are picked up through upper-layer operation on the picture; the right side column correspondingly selects the attribute corresponding to each frame, and the frames and the attributes are in one-to-one correspondence; and after the marking of the whole picture is finished, submitting all the data, automatically switching to the next picture, automatically returning to a task list after the marking of all the pictures is finished, and simultaneously modifying the task state to be the marking completion, and continuously getting the next task.
5. The image data annotation method according to claim 4, characterized in that: in the step (5), when the annotating personnel annotate the pictures in the tasks in the annotation module, the annotation mode comprises rectangular annotation and polygonal annotation; when the rectangle marking is operated, clicking a left mouse button to drag and pull out a rectangle frame, displaying the rectangle frame on a marked picture, and arranging an X deletion key at the upper right corner of the rectangle frame; when the polygon marking operation is carried out, firstly, the polygon is selected, the corresponding number is selected on the keyboard according to the number of the polygon for inputting, the left button of the mouse is clicked for sliding, the corresponding polygon frame is formed, and the upper right corner of the polygon frame is provided with an X deletion key.
6. The image data annotation method according to claim 5, characterized in that: in the step (6), the auditor user interface comprises a task management module and an audit module; auditors get the audit tasks through the task management module, and one task can be randomly selected from the tasks which are labeled, so that the coupling between the labeling personnel and the auditors is reduced; each audit task provides details and an audit function, and the audit details comprise detailed information, a labeling state and a large picture viewing function of each picture in the task; the auditor audits the marked picture in the task through the audit module, the current picture and the marked area of the marker are displayed in the audit module, after the auditor selects the designated frame, the designated frame can display different colors, and meanwhile, the right side can display the attribute of the selected frame; if the auditor considers that the selected frame does not meet the labeling requirement, the reason can be explained and the selected frame is rejected, if the reason does not exist in the options, the auditor can add the reason for rejection in a self-defined manner, and after the addition is completed, the reason option for rejection of the right side fence is updated in real time for the auditor to select; and (4) allowing the auditor to reject all the frames which are not in accordance with the operation, allowing the remaining frames which are not in operation to pass by default, automatically completing the audit task after the auditor processes all the pictures, and rejecting the task together if rejected frames exist in the task, wherein the rejected frames of the task need to be re-modified by the annotator.
7. The image data annotation method according to claim 6, characterized in that: the box that the auditor passed the audit is shown as green, and the box rejected is shown as red.
8. The image data annotation method according to claim 6, characterized in that: the marking personnel receives the rejected task, the middle frame selected on the marking picture in the task can show the rejection reason and the attribute selected in the first previous marking on the right side column, and the marking personnel modifies the frame or the attribute according to the rejection reason and submits the frame or the attribute; and (4) carrying out secondary audit on the task by an auditor, and continuously repeating the process until the label is completely passed.
9. An application system of the image data annotation method according to claim 1, characterized in that: the method comprises the following steps: the system comprises a terminal, a static file server, an application server and a database; the terminal is provided with image data annotation software adopting a B/S framework and used for uploading, annotating and managing the image through the image data annotation software; the static file server is connected with the terminal through an API interface and used for returning a static file according to the request of image data annotation software on the terminal; the application server is respectively connected with the terminal and the database through an API (application programming interface) interface and is used for returning a data file according to the request of image data annotation software on the terminal; the database is MySQL and is used for storing application server data.
10. The system for applying the image data annotation method according to claim 9, wherein: the application server is a picture application server tomcat.
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