System for marking picture features based on team multi-person cooperation
Through a system based on team-based multi-person collaborative marking, the problems of long time, high error rate and waste of resources in the prior art are solved, efficient and accurate image feature marking are achieved, and marking efficiency and professionalism are improved.
Patent Information
- Application Number
- CN202510212737.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-25
- Publication Date
- 2025-05-27
AI Technical Summary
In the prior art, the image feature marking method has problems such as long time, high error rate and waste of resources, especially when multiple people collaborate to mark, they cannot fully utilize their advantages.
A system based on team-based multi-person collaborative marking is designed, including feature responsibility module, picture import module, mark task allocation module, feature marking module, marking information recording module, marking inspection module, marking completion judgment module and marking summary module. Through these modules, multi-person collaborative marking is realized and marking is automatically checked.
It improves the marking efficiency, reduces the error rate, eliminates inspection omissions, fully utilizes the advantages of multi-person collaboration, and improves the professionalism of marking and the overall efficiency of the system.
Smart Images

Figure CN120047109A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of picture feature marking, especially a system for marking picture features based on multi-person collaboration in a team. Background Art
[0002] With the development and expansion of the Internet, the quantity and variety of pictures have increased exponentially, bringing great pressure to picture feature marking. Each picture has many feature points, and it is inevitable to have marking omissions, which brings great difficulties and challenges to marking review and the use of marking results.
[0003] Currently, picture features are mostly reviewed and marked one by one. Each marker needs to mark all features on a batch of pictures and then summarize them, resulting in high inspection difficulty and error rate.
[0004] That is, the prior art has the following technical problems. Ordinary picture marking methods have the following technical problems:
[0005] 1. Long time-consuming. There are many features to be marked, and the marking process is time-consuming and laborious.
[0006] 2. High error rate. Marking all features is difficult to find, and it is easy to cause omissions due to fatigue.
[0007] 3. Resource waste. Although multiple people can work in batches, each person needs to know all features, and the marking workload is large, so the advantage of multi-person collaboration cannot be fully utilized.
[0008] Therefore, a system for marking picture features based on multi-person collaboration in a team is proposed to solve the above problems. Summary of the Invention
[0009] In this embodiment, a system for marking picture features based on multi-person collaboration in a team is provided to solve the problems of long time-consuming, high error rate, and resource waste in the prior art picture marking method.
[0010] According to one aspect of the present application, a system for marking picture features based on multi-person collaboration in a team is provided. The system for marking picture features based on multi-person collaboration in a team includes:
[0011] A feature responsible module, a picture import module, a marking task assignment module, a feature marking module, a marking information recording module, a marking inspection module, a marking completion judgment module, and a marking summary module;
[0012] The described picture import module is interconnected with the marking task assignment module, the marking task assignment module is interconnected with the feature marking module, the feature marking module is interconnected with the marking information recording module, the marking information recording module is interconnected with the marking inspection module, the marking inspection module is interconnected with the marking completion judgment module, and the marking completion judgment module is interconnected with the marking summary module.
[0013] Furthermore, the feature responsible module includes a feature person in charge configuration unit and a marker configuration unit. The feature person in charge configuration unit is used to configure a feature person in charge, who is responsible for the content and standards of the feature. The marker configuration unit is used to configure multiple markers and ensure that all markers understand the content and standards to be marked.
[0014] Furthermore, the picture import module is used to import the pictures to be marked into this system.
[0015] Furthermore, the marking task assignment module includes a picture assignment unit, which is used to assign pictures to multiple markers.
[0016] Furthermore, the feature marking module includes marking tools, and the feature marking module is used to enable each marker to use the provided marking tools to mark the pictures.
[0017] Furthermore, the marking information recording module includes a marking result submission unit. The marking information recording module is used to record in real time the marking information submitted by each marker. The marking result submission unit is used to submit the marking result after each marker completes the marking of a picture and then proceed to the marking of the next picture.
[0018] Furthermore, the marking inspection module is used to summarize and inspect the marking information to ensure that there are no omissions or errors.
[0019] Furthermore, the marking completion judgment module includes an uncompleted marking detection unit and a return unit. The marking completion judgment module is used to judge whether all pictures have been marked. The return unit is used to return to the feature marking module when there are pictures with uncompleted marking, and the marker needs to re-mark the corresponding pictures.
[0020] Furthermore, the marking summary module includes a marking confirmation unit and a dataset generation unit.
[0021] Furthermore, the marking confirmation unit is used to confirm that all picture markings are correct, and the dataset generation unit is used to summarize all marking information and generate a complete dataset.
[0022] Through the above technical solutions of this application, through this technical solution, multiple markers can perform marking work according to the picture features classified by each person's responsibility. At the same time, finally, the marking integrity can be automatically scanned and checked, and all the markings can be merged to form the final marking information. Compared with the single-person marking of all features in the prior art, this system changes the single-person comprehensive training to single-classification training, improves the professionalism of single-person marking, and the marking efficiency is also greatly improved. The system configuration record can also prevent the marking omission caused by the inspection omission. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0024] Figure 1 It is the overall schematic diagram of an embodiment of the present application;
[0025] Figure 2 It is the process schematic diagram of an embodiment of the present application.
[0026] In the figure:
[0027] Feature responsible module 1, feature person in charge configuration unit 101, marker configuration unit 102;
[0028] Picture import module 2;
[0029] Marking task allocation module 3, picture allocation unit 301;
[0030] Feature marking module 4, marking tool 401;
[0031] Marking information recording module 5, marking result submission unit 501;
[0032] Marking inspection module 6;
[0033] Marking completion judgment module 7, uncompleted marking detection unit 701, return unit 702;
[0034] Marking summary module 8, marking confirmation unit 801, data set generation unit 802. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0035] To enable those skilled in the art to better understand the solution of this application, the following will clearly and completely describe the technical solutions in the embodiments of this application in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts shall fall within the protection scope of this application.
[0036] It should be noted that the terms "first", "second", etc. in the specification, claims and the above-mentioned drawings of this application are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances for the embodiments of this application described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.
[0037] In this application, the orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", etc. is based on the orientation or positional relationship shown in the accompanying drawings. These terms are mainly used to better describe this application and its embodiments, and are not used to limit that the indicated devices, elements or components must have a specific orientation or be constructed and operated in a specific orientation.
[0038] Moreover, in addition to being able to represent an orientation or positional relationship, some of the above terms may also be used to represent other meanings. For example, the term "upper" may also be used to represent a certain attachment relationship or connection relationship in some cases. For those of ordinary skill in the art, the specific meanings of these terms in this application can be understood according to specific circumstances.
[0039] In addition, the terms "install", "set", "provided with", "connect", "connected", "socketed" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or there can also be internal communication between two devices, elements or components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.
[0040] Please refer to Figure 1As shown, a system for collaborative marking of image features by multiple people in a team, the system for collaborative marking of image features by multiple people in a team includes:
[0041] A feature responsible module 1, an image import module 2, a marking task assignment module 3, a feature marking module 4, a marking information recording module 5, a marking inspection module 6, a marking completion judgment module 7, and a marking summary module 8;
[0042] The image import module 2 is interconnected with the marking task assignment module 3, the marking task assignment module 3 is interconnected with the feature marking module 4, the feature marking module 4 is interconnected with the marking information recording module 5, the marking information recording module 5 is interconnected with the marking inspection module 6, the marking inspection module 6 is interconnected with the marking completion judgment module 7, and the marking completion judgment module 7 is interconnected with the marking summary module 8.
[0043] Through this technical solution, multiple markers can perform marking work according to the classification of image features they are responsible for. At the same time, the marking integrity can be automatically scanned and checked at the end, and all markings can be merged to form the final marking information. Compared with the single-person marking of all features in the prior art, this system changes the single-person comprehensive training to single-classification training, improves the professionalism of single-person marking, and greatly improves the marking efficiency. The system configuration record can also prevent the marking omission phenomenon caused by inspection omissions;
[0044] The feature responsible module 1 includes a feature person in charge configuration unit 101 and a marker configuration unit 102. The feature person in charge configuration unit 101 is used to configure a feature person in charge, who is responsible for the content and standards of the feature. The marker configuration unit 102 is used to configure multiple markers and ensure that all markers understand the content and standards to be marked;
[0045] The image import module 2 is used to import the images to be marked into this system.
[0046] The marking task assignment module 3 includes an image assignment unit 301, and the image assignment unit 301 is used to assign the images to multiple markers.
[0047] The feature marking module 4 includes a marking tool 401, and the feature marking module 4 is used to enable each marker to use the provided marking tool 401 to mark the images.
[0048] The marking information recording module 5 includes a marking result submission unit 501. The marking information recording module 5 is used to record the marking information submitted by each marker in real time. The marking result submission unit 501 is used to submit the marking result after each marker completes the marking of one image and enter the marking of the next image;
[0049] The marking inspection module 6 is used to summarize and inspect the marking information to ensure that there are no omissions or errors;
[0050] The marking completion judgment module 7 includes an unfinished marking detection unit 701 and a return unit 702. The marking completion judgment module 7 is used to judge whether all pictures have been marked. The return unit 702 is used to return to the feature marking module 4 when there are pictures with unfinished markings, and the marker needs to re-mark the corresponding pictures;
[0051] The marking summary module 8 includes a marking confirmation unit 801 and a data set generation unit 802;
[0052] The marking confirmation unit 801 is used to confirm that all picture markings are correct, and the data set generation unit 802 is used to summarize all marking information and generate a complete data set.
[0053] The above are only the preferred embodiments of the present application and are not used to limit the present application. For those skilled in the art, the present application can have various changes and modifications. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims
1. A system based on multi-person collaboration to mark image features, characterized by: The system for marking image features based on team multi-person collaboration includes: A feature responsible module (1), an image importing module (2), a marking task allocating module (3), a feature marking module (4), a marking information recording module (5), a marking checking module (6), a marking completion judging module (7) and a marking summarizing module (8); The image import module (2) is interconnected with the marking task allocation module (3), the marking task allocation module (3) is interconnected with the feature marking module (4), the feature marking module (4) is interconnected with the marking information recording module (5), the marking information recording module (5) is interconnected with the marking checking module (6), the marking checking module (6) is interconnected with the marking completion judgment module (7), and the marking completion judgment module (7) is interconnected with the marking summary module (8).
2. The system for marking image features based on team collaboration of multiple people according to claim 1 is characterized by: The feature responsible module (1) includes a feature responsible person configuration unit (101) and a marker configuration unit (102). The feature responsible person configuration unit (101) is used to configure a feature responsible person who is responsible for the content and standards of the feature. The marker configuration unit (102) is used to configure multiple markers and ensure that all markers understand the content and standards that need to be marked.
3. The system for marking image features based on team collaboration of multiple people according to claim 1 is characterized by: The picture import module (2) is used to import pictures that need to be marked into the system.
4. The system for marking image features based on team collaboration of multiple people according to claim 1 is characterized by: The marking task assignment module (3) comprises a picture assignment unit (301), and the picture assignment unit (301) is used to assign pictures to multiple markers.
5. The system for marking image features based on team collaboration of multiple people according to claim 1 is characterized by: The feature marking module (4) comprises a marking tool (401), and the feature marking module (4) is used to enable each marker to mark the picture using the provided marking tool (401).
6. The system for marking image features based on team collaboration of multiple people according to claim 1 is characterized by: The marking information recording module (5) comprises a marking result submission unit (501), wherein the marking information recording module (5) is used to record the marking information submitted by each marker in real time, and the marking result submission unit (501) is used to submit the marking result after each marker completes marking of a picture, and proceed to marking the next picture.
7. The system for marking image features based on team collaboration of multiple people according to claim 1 is characterized by: The tag checking module (6) is used to perform a summary check on the tag information to ensure that there are no omissions or errors.
8. The system for marking image features based on team collaboration of multiple people according to claim 1 is characterized by: The marking completion judgment module (7) comprises an incomplete marking detection unit (701) and a return unit (702). The marking completion judgment module (7) is used to judge whether all pictures have been marked. The return unit (702) is used to return to the feature marking module (4) when there are pictures that have not been marked, and the marker needs to re-mark the corresponding pictures.
9. The system for marking image features based on team collaboration of multiple people according to claim 1 is characterized by: The tag aggregation module (8) includes a tag confirmation unit (801) and a data set generation unit (802).
10. The system for marking image features based on team collaboration of multiple people according to claim 9 is characterized in that: The tag confirmation unit (801) is used to confirm that all image tags are correct, and the data set generation unit (802) is used to aggregate all tag information to generate a complete data set.