MindMap Gallery Implementation Opinions on Promoting the High-Quality Development of Data Labeling Industry
This is a mind map on the implementation opinions on promoting the high-quality development of the data labeling industry. The main contents include: optimizing the support system, cultivating a prosperous ecology, enhancing innovation-driven, and deepening demand-driven.
Edited at 2025-01-14 11:14:39Rumi: 10 dimensions of spiritual awakening. When you stop looking for yourself, you will find the entire universe because what you are looking for is also looking for you. Anything you do persevere every day can open a door to the depths of your spirit. In silence, I slipped into the secret realm, and I enjoyed everything to observe the magic around me, and didn't make any noise. Why do you like to crawl when you are born with wings? The soul has its own ears and can hear things that the mind cannot understand. Seek inward for the answer to everything, everything in the universe is in you. Lovers do not end up meeting somewhere, and there is no parting in this world. A wound is where light enters your heart.
Chronic heart failure is not just a problem of the speed of heart rate! It is caused by the decrease in myocardial contraction and diastolic function, which leads to insufficient cardiac output, which in turn causes congestion in the pulmonary circulation and congestion in the systemic circulation. From causes, inducement to compensation mechanisms, the pathophysiological processes of heart failure are complex and diverse. By controlling edema, reducing the heart's front and afterload, improving cardiac comfort function, and preventing and treating basic causes, we can effectively respond to this challenge. Only by understanding the mechanisms and clinical manifestations of heart failure and mastering prevention and treatment strategies can we better protect heart health.
Ischemia-reperfusion injury is a phenomenon that cellular function and metabolic disorders and structural damage will worsen after organs or tissues restore blood supply. Its main mechanisms include increased free radical generation, calcium overload, and the role of microvascular and leukocytes. The heart and brain are common damaged organs, manifested as changes in myocardial metabolism and ultrastructural changes, decreased cardiac function, etc. Prevention and control measures include removing free radicals, reducing calcium overload, improving metabolism and controlling reperfusion conditions, such as low sodium, low temperature, low pressure, etc. Understanding these mechanisms can help develop effective treatment options and alleviate ischemic injury.
Rumi: 10 dimensions of spiritual awakening. When you stop looking for yourself, you will find the entire universe because what you are looking for is also looking for you. Anything you do persevere every day can open a door to the depths of your spirit. In silence, I slipped into the secret realm, and I enjoyed everything to observe the magic around me, and didn't make any noise. Why do you like to crawl when you are born with wings? The soul has its own ears and can hear things that the mind cannot understand. Seek inward for the answer to everything, everything in the universe is in you. Lovers do not end up meeting somewhere, and there is no parting in this world. A wound is where light enters your heart.
Chronic heart failure is not just a problem of the speed of heart rate! It is caused by the decrease in myocardial contraction and diastolic function, which leads to insufficient cardiac output, which in turn causes congestion in the pulmonary circulation and congestion in the systemic circulation. From causes, inducement to compensation mechanisms, the pathophysiological processes of heart failure are complex and diverse. By controlling edema, reducing the heart's front and afterload, improving cardiac comfort function, and preventing and treating basic causes, we can effectively respond to this challenge. Only by understanding the mechanisms and clinical manifestations of heart failure and mastering prevention and treatment strategies can we better protect heart health.
Ischemia-reperfusion injury is a phenomenon that cellular function and metabolic disorders and structural damage will worsen after organs or tissues restore blood supply. Its main mechanisms include increased free radical generation, calcium overload, and the role of microvascular and leukocytes. The heart and brain are common damaged organs, manifested as changes in myocardial metabolism and ultrastructural changes, decreased cardiac function, etc. Prevention and control measures include removing free radicals, reducing calcium overload, improving metabolism and controlling reperfusion conditions, such as low sodium, low temperature, low pressure, etc. Understanding these mechanisms can help develop effective treatment options and alleviate ischemic injury.
About promoting the data labeling industry Implementation opinions on high-quality development
Deepen demand traction
Release public data labeling requirements
Deepen the application of artificial intelligence in government services, urban governance, rural revitalization and other fields, prepare public data labeling catalogs, and promote public data labeling and development and utilization in an orderly manner in accordance with laws and regulations.
Support public data to empower the development of the real economy, and explore public data labeling needs in key areas such as modern agriculture, intelligent manufacturing, and information services.
Support the application of public data fusion across departments, regions and levels, and encourage government departments and enterprises to collaborate on the annotation and training of data required for government big models.
Promote the inclusion of data labeling services into the scope of government procurement
Mining enterprise data labeling requirements
Strengthen data labeling in key industries such as transportation, medical care, finance, science, manufacturing, and agriculture, build high-quality industry data sets, and support the application empowerment of artificial intelligence in the industry field
Focusing on medical and health, human resources, digital trade, autonomous driving, low-altitude economy and other scenarios, business innovation drives data to mark demand
Enhance innovation-driven
Carry out key technologies
Strengthen the key technology research and application in the fields of cross-domain cross-modal semantic alignment, 4D annotation, large model annotation and other data annotation
Support the research and development of intelligent tools such as multi-modal annotation, labeling review, quality evaluation, and expert annotation based on thinking chains.
Support the construction of an innovative data labeling platform integrating data, models, tools and scenarios
Supports the research and development of key equipment in the field of integrated software and hardware, independent and controllable data labeling
Improve data labeling standards
Establish a framework for data labeling standards and formulate national standards such as data labeling technology, quality, and capabilities
Create a high-level innovation carrier
Cultivate and build key laboratories, technology innovation centers in the field of data labeling
Support data labeling enterprises to jointly establish innovation platforms and collaborative innovation bases for industry-education integration, etc.
Encourage relevant enterprises and scientific research institutions to participate in the construction of open source communities and promote the joint construction and sharing of innovative resources.
Cultivate a prosperous ecology
Focus on strengthening business entities
Cultivate a group of leading data labeling enterprises, encourage them to become bigger and stronger through resource integration, mergers and acquisitions, and promote the scale, standardization and intensive development of data labeling enterprises
Cultivate a group of data-labeled gazelle enterprises and unicorn enterprises that are deeply involved in the industry
Promote accurate connection between data labeling SMEs and third-party institutions such as human resources, financial services, and compliance consultation to help enterprises develop rapidly
Actively improve the industrial ecology
Support data labeling leading enterprises and third-party institutions to build open source data labeling platforms to help small and medium-sized enterprises develop
Cultivate a group of third-party institutions for service data labeling of human resources, supply and demand connection, international cooperation, legal audit, etc., and improve the data labeling industry ecology
Strengthen the leading role
Carry out innovation forums, collection of scenario cases, academic exchanges and other activities in the field of data annotation, and select excellent cases of data annotation
Encourage the holding of data labeling innovation competitions and other events, strengthen the promotion of data labeling innovation achievements and scenario expansion
Deepen international exchanges and cooperation
Support enterprises and institutions to take the lead in formulating international standards for data labeling
Relying on my country's digital infrastructure advantages, domestic enterprises are encouraged to undertake international business of data labeling
Optimize the support system
Increase financial support for taxation and financial support
Encourage places with conditions to increase support for the data labeling industry
All regions and departments can coordinate the procurement costs of data products and labeling services based on actual conditions.
Make full use of data coupons, algorithm coupons and computing power coupons issued by various places to reduce the cost of data labeling enterprises
Encourage all types of industrial funds and professional investment institutions to increase investment in data labeling, and guide social capital to participate in an orderly manner.
Improve the ability to mark public services
Build a public service platform for data labeling, strengthen dynamic monitoring of labeling industries, and improve capabilities such as industrial resource aggregation, supply and demand docking, and risk management
In accordance with the requirements of standardized access and interconnection, we will create a national "one network" for public services for data labeling
Strengthen the construction of the marked talent team
Made (revise) the national occupational standards for artificial intelligence training and data labeling
Deepen the integration of industry, academia and research, encourage industry alliances, universities, research institutes and enterprises to establish long-term cooperation mechanisms, and increase cooperation in data labeling practice projects, continuing education and public training base construction
Relying on industry organizations, colleges, social training evaluation organizations, etc., we will carry out data marking related professional skills level certification
Support the connection and mutual recognition of professional qualifications and professional skill levels in the field of data labeling to smooth the talent development channel
Support the construction of data labeling talent database at a level and strengthen industrial talent support
Promote the safe development of the labeling industry
Establish and improve relevant standards for data labeling safety risk identification, monitoring and early warning, emergency response, etc., and implement the safety responsibilities of relevant entities in the entire process of data labeling
Reasonably protect the relevant rights and interests formed by data labeling enterprises in the process of data flow
Strengthen the construction of data labeling privacy protection, artificial intelligence alignment, and security assessment capabilities