Featured Column Pick: "Data Labeling Job Summary".

Time passes unnoticed, and we have to start doing work summarization before the new stage of work. Summarize the achievements, problems and other aspects of the evaluation and description of a written material, we are in a new phase of work before the arrival of this phase of work to do a summary. Work summarization plays a very important role in improving the ways and means of our work. Do you have the task of writing a work summary? I present to you the collected and organized Data Labeling Job Summary for your reference and please bookmark this page!

Data labeling work summary (Part 1)

xx year Fujian Provincial Government Work Report (full text)

Time: xx January 22

First, xx year work review

In the past year, in the xxx, xxx and xxx Fujian Provincial Party Committee under the correct leadership of the provincial government at all levels adhere to With the guidance of xxx theory, the important thought of "Three Represents" and the scientific concept of development, the governments at all levels adhere to the spirit of the 18th National Congress of the Communist Party of China (CPC), the Second and Third Plenary Sessions of the 18th CPC Central Committee, and the series of important speeches of xxxxxxx, and grasp the overall keynote of seeking progress while maintaining a steady state, fully implement the "three plans and two programs", and make every effort to promote the scientific development of the province. ", and fully promote the scientific development of leapfrog development, the provincial 12th National People's Congress of the annual main goals and tasks determined by the first session of the successful completion of the construction of the Economic Zone on the West Coast of the Taiwan Strait in the overall situation of the important role of the construction of the West Coast of the Taiwan Strait has further emerged.

Preliminary statistics, xx year the province's gross domestic product billion yuan, an increase of 11%; public **** total fiscal revenue of 100 million yuan, an increase of 14%, of which, the local public **** fiscal revenue of 100 million yuan, an increase; the whole society fixed asset investment of 100 million yuan, an increase; foreign trade and import and export of total billions of U.S. dollars, an increase of, among them, exports of 106.5 billion U.S. dollars, an increase; the actual use of foreign direct investment in the United States of America, an increase of 100 million U.S. dollars; Total retail sales of consumer goods increased by 14%; the total level of consumer prices rose; urban residents per capita disposable income of 30,816 yuan, growth; farmers per capita net income of 11,184 yuan, growth; urban registered unemployment rate; natural population growth rate of ‰; energy saving and emission reduction of the annual target can be achieved.

The main work and results of the year is:

(a) stabilizing growth and adjusting the structure of the in-depth promotion

Expanding domestic demand is solid and effective. Continue to fight the "five battles" (Fujian Provincial Party Committee, the provincial government decided to start from the beginning of August xx, seize the focus and key to the overall situation, and focus on launching the "five battles", and strive to accelerate the development of a breakthrough. These "five battles" are: the battle for the construction of key projects, the battle for the development of new growth areas, the battle for urban construction, the battle for the reform and development of small towns, and the battle for people's livelihood projects.) The implementation of urban and rural infrastructure six enhancement projects, the provincial key projects completed investment of 489.5 billion yuan, to the Putu, Xiamen-Shenzhen Railway and a number of projects completed and put into use, the railroad added 543 kilometers of operating mileage, the total mileage of 2,820 kilometers, highway mileage of 563 kilometers, the total mileage of 4,057 kilometers, ports added throughput capacity of 22 million tons, throughput up to a hundred million tons, the power of the added 2,450,000 kW of installed capacity. The installed capacity of electric power has increased to 2.45 million kilowatts, totaling 42.6 million kilowatts. Provincial tracking and management of the "three-dimensional" project *** 3567, the annual completion of investment of 509.7 billion yuan. Improve the initiatives to promote the healthy development of urbanization, the pilot new urbanization and the citizenship of the agricultural transfer population in an orderly manner, and continue to deepen the "point, line and surface" attack. The company has been actively expanding consumption, strengthening the economic and trade functions and market operation of various exhibitions, and a number of e-commerce demonstration platforms and clusters have begun to take shape, with culture, tourism, information, and health consumption becoming the new hotspots.

Policy support is active and powerful. On the basis of the effective implementation of the stable growth policies introduced in the past two years, the further launch of a series of measures to promote the growth of industrial and trade enterprises, open up the product market, accelerate the development of the circulation industry, customs clearance facilitation, and strengthen the financing, land, labor and other services to ensure that the annual structural tax cuts of hundreds of millions of yuan, cancellation, reduction and exemption of charges of hundreds of millions of yuan, the province's industrial enterprises above designated size of the total profit growth rate of 9%.

The level of industrial development has increased. Efforts to grasp the leading, casting chain, building clusters, to upgrade outdated, transformation instead of shutdown, in-depth implementation of the six special actions, the implementation of differential tariffs, the growth of industrial value added, the value added of strategic emerging industries increased by 25%, the province's 100 billion industrial clusters up to eight. Introduced to support the development and growth of the construction industry policy measures, the construction industry value added growth of 13%. Promote the comprehensive reform of the service industry and the pilot project of "camp change", and the added value of the tertiary industry increased. The company has also accelerated the construction of the Strait's Blue Economy Pilot Zone, with GDP growth of 15 percent and the output value of offshore fishing ranking second in the country.

The innovation platform continues to expand. Supporting enterprises to undertake major scientific and technological projects, 113 new high-tech enterprises, 41 enterprise technology centers above the provincial level, 223 key laboratories and engineering technology research centers. Accelerating the creation of the "6-18" virtual research institute, the eleventh session of the Straits Project Achievement Fair **** docking contract projects 4379, with a total investment of 96.8 billion yuan. Strengthen the construction of "Digital Fujian", water resources and environmental monitoring, comprehensive application of Beidou satellites, electronic license *** enjoy the application of platforms to achieve results. The patent promotion action, the annual patent authorization increased by 23%.

(B) "Three rural" work continues to strengthen

Modern agriculture to accelerate the development. Increase the strength of strong agriculture, agriculture, forestry, animal husbandry and fisheries gross output value growth, the total grain output of 10,000 tons. Cultivate the formation of agricultural industrialized business organizations 10,000, covering all the characteristics of advantageous industries, the provincial key leading enterprises sales income growth of 10%, effectively driving farmers to increase income. The province has 1.47 million acres of greenhouse greenhouses for fruits and vegetables, major crops, livestock and poultry seed coverage reached and 95%, respectively, the continued development of modern agricultural demonstration zones, farmers' entrepreneurial parks, demonstration bases covering all agricultural counties and municipalities.

Data labeling work summary (Part 2)

xx year into the data cleanup inventory work report

According to the provincial, municipal and district documents, the full population data cleanup inventory work as the current focus of the work to grasp, emancipate the mind, put down the burden of in-depth, thoroughly to carry out the cleanup of the data inventory inventory, in particular, the calendar year (including the current year) omission, misreporting, concealment of the number of births, In particular, the number of births, the number of "four techniques", the number of pregnancy checks, and the number of social maintenance fees collected in previous years (including the current year) were omitted, misreported, and concealed, and were comprehensively entered into the system. This work is summarized as follows:

First, the leadership attaches great importance to

In order to ensure that the cleanup and inventory work to achieve tangible results, my street into the street in charge of the leader XXX as a leader, the relevant personnel as a member of the "verification of population and birth control statistics inventory" activities of the leading group, the leading group in the birth control section set up under the office, specifically responsible for monitoring and coordinating management of the work of the organization. Office, specifically responsible for the supervision and overall management of the full population information system data quality checks, information collection and entry work. Leading group by the street in charge of the leader Chen Weiyuan chaired a coordination meeting, and further clarified the section personnel subcontracting community workstations, according to the actual street is divided into three cleanup and inventory work team, integrated community workstations of various resources for the smooth progress of cleanup and inventory of the organization and team to provide protection.

Second, highlight the focus, deepen the measures to ensure that the quality of the mobile population cleaning and inventory of the mobile population management is the focus of family planning work, but also difficult to carry out a centralized cleaning and inventory of the mobile population is a means of family planning management and services, the purpose is to clean up through the establishment of an accurate and detailed accounts, to find out the bottom of the mobile population, to investigate their needs for further development of the "localized management, the localization of the community, the community workstation. The purpose is to establish an accurate and detailed account of the floating population and investigate their needs, so as to lay a good foundation for the further development of "localized management and citizen-oriented services". In the cleanup, we take unified leadership, unified time, unified registration, unified management approach, in accordance with the publicity and training, cleanup and inventory, return visit and review, file Lika entry summary, investigation and processing of five stages of the urban area of the floating population for a comprehensive cleanup and inventory, mapping and archiving, improve management, clear management "blank" and "dead ends". "Dead end", the main management of the weak links, for the urban area of the mobile population management and services on a regular basis, institutionalized, standardized management track laid a solid foundation.

Data annotation work summary (Part 3)

How to operate a data annotation company

(Resource Characteristics Chapter)

In the "infrastructure chapter" we mentioned the resources, that is, the data annotation company to face the party: AI companies, AI companies, AI research institutes. So the question is, AI companies, AI enterprises, AI research institutes are many and varied, as a data annotation company should be how to define the direction of their services?

First of all, we need to be able to accurately understand the characteristics of the resource company, so that we can better provide them with services that meet their own characteristics.

Currently on the market, AI companies, AI enterprises, AI research institutes are broadly divided into the following categories, for the cooperation with the data annotation company, they have their own advantages and disadvantages, here to analyze the following prominent categories:

1. start-up type here refers to the start-up company generally refers to the initial entrepreneurial companies that did not carry out the stage of financing. Advantages:

a) low communication costs startup-type company's core founders are generally the company's core technical staff, so they have a clear perception of the need for the results of the data

data annotation, able to clearly and rigorously expressed the need to mark the rules of the data, data annotation companies and such resource companies in the communication of the simpler, able to quickly get to the point quickly to establish the relationship between supply and demand The data labeling company and such resource companies in communication is relatively simple, can quickly get to the point, quickly establish a supply and demand relationship, eliminating the need for lengthy reporting, approval at all levels of communication links. b) Settlement time is fast this kind of resource company itself is relatively simple, for the completion of the labeling of the settlement time is also relatively short. Disadvantages:

a) demand consistency is not strong because many start-up companies do not have a stable party, at the same time, the company in the same period of docking the number of parties is not a certain amount, there may be a lot of a certain month, the same may also be a no. This leads to the demand for data in the data, the company's structure is also relatively simple, and for the marking of the completion of the settlement time is relatively short. This results in not a lot of consistency in the data requirements.

b) labeling requirements are not large in the communication and cooperation with the A party on the way to show that the project products do not need a lot of data verification. More often than not, it is a small batch of data to show a small sample of the product, because startups also have to consider the relationship between the success rate of the project and the cost of labeling.

2. Enterprise type here refers to AI companies that have formed a certain scale, and at the same time may have received multiple rounds of financing.

Advantages:

a) Strong data consistencyThe AI enterprises of a certain scale referred to here may already be the first echelon of the market leader, because of the mature products and partners, they need a large amount of labeled data for model training when the product needs to be iterated and the development of related products. At the same time, because of its influence in the industry, the success rate of cooperation with new demand vendors is much higher than that of startup AI companies.

b) Data value is high because large companies need to combine confidentiality, quality, schedule and other factors, and because they have already established a formal partnership with the demand company, this type of AI company in the provision of data labeling unit price is slightly higher than the startups. Disadvantages:

a) Long settlement cycle because the structure of such companies is relatively complex, and the more complex the structure of the company for the expenditure of funds for the process is also more cautious, this caution will lead to the contract within the settlement cycle is much higher than the startups. b) High cost of communication because of the structure of such companies is relatively complex, the general startup process of a project is "algorithmic The algorithm team will provide the requirements to the project manager, the project manager will contact the data labeling company for trial bidding - the data labeling company will give feedback after the trial bidding - the project manager will check and give feedback to the algorithm team. This will not avoid the ambiguity of multiple people communicating the rules, which requires a lot of time for communication and verification. At the same time, the process is also relatively complex at the start of the project, not only need to confirm the rules of the algorithm, need to confirm the payment method of finance, need to legal review of the contract, need to be approved by the project leader in charge of the project, which will make the data labeling company's communication costs greatly increased.

3. Research-based Here refers to the research departments of various governments, universities and other administrative institutions.

Advantages:

a) short settlement time general science and technology organizations are the approval of the first project preparation, in the project preparation through the project in fact, this part of the project funds have been set aside, as long as the data labeling company can be completed on time and according to the amount of the project content at the same time to provide the relevant invoices stipulated in the contract, you can be settled successfully.

b) Low communication costs General research institutions are responsible for the project by the tutor designated contact person for communication with the data annotation company, while the designated person is generally also a participant in the project, so in the formulation of the rules is more clear, as with the start-up company, can quickly enter the subject, greatly saving the data annotation company in the communication of the time spent. Disadvantages:a) data coherence is not strong because the projects of such research institutes are basically phased, a type of product on-line, related products and then on-line need cycle.

b) Finding high costs because of the specificity of the scientific research institutions, it is difficult to accurately locate the demand sector in the market, in the many departments to establish the demand sector and establish a cooperative relationship with it is required to consume a lot of time and energy.

4. Comprehensive to AI transformation of various traditional industry enterprises.

Advantages:

a) Strong data consistency because of the transformation of traditional production, this type of enterprise generally have an independent AI product development group, and because of the volume and market share of such companies themselves, it will make the transformation of the field and the demand for products more broad.

b) large amount of data because the AI transformation in addition to mature technical support, the most important thing is time, the faster the production will be combined with the AI business, its market competitiveness will be more obvious. And how can the computer be trained quickly? In addition to the technical support of the algorithm team, the rest is to provide the computer with a large number of labeled data in line with the model recognition. Disadvantages:

a) Long settlement cycle and enterprise-oriented companies of the same nature, due to the huge internal structure, the project funds settlement cycle compared to start-up companies and research institutes will grow greatly.

b) Tight schedule because of the transformation of the macro task, so generally such companies have clear provisions for the transition project landing time, to put it simply is a tight schedule, heavy task. Due to this characteristic, data labeling companies need to have a large number of manpower to carry out data labeling when undertaking such companies' projects, which is undoubtedly a great challenge for the management of the company itself. Each kind of company mentioned in this article has its own channel acquisition characteristics, please keep following the blog, we will update more related content in the next.