Jinglianwen technology's low price strategy helps AI enterprises reduce model training costs

In the context of the epidemic , The production and operation activities of all enterprises have been impacted ,AI Algorithm companies are no exception , Therefore, the cost of model training is more controlled , Especially in the data governance stage , In addition to attaching importance to the accuracy of annotation as always, relevant algorithm enterprises , Price has also become one of the key considerations .

With the increasing competition in the data annotation industry ,AI Enterprises have more choices when choosing to label suppliers . Stand on the position of marking company , By improving the efficiency of operation management , Increase technology investment, reduce cost and increase efficiency , So as to achieve a lower quotation of labeling scheme , It can not only attract more cooperative customers , And it can effectively help algorithm enterprises reduce research and development costs .

Perfect operation and maintenance system

Jinglianwen technology has ten years of business operation and maintenance experience , A standardized process system has been established . The standardized process system includes business docking — Internal assessment — Personnel training — Special knowledge assessment — Architecture build — Technical support — Trial production and trial bid — Quality inspection mechanism — Risk early warning — Confirm delivery .

Equip each project with a dedicated business manager 、 project manager 、 Technical personnel 、 Annotator 、 Quality inspector , Train relevant personnel, including but not limited to project background 、 Purpose 、 The rules 、 matters needing attention 、 difficulty 、 Platform operation 、 Project requirement （ Accuracy rate 、 Daily output ） And so on .

Analyze the project structure according to the project requirements , be based on WBS The principle decomposes the project into a tree view layer by layer according to its internal structure and the order of implementation process , Form a relatively independent 、 Easy to manage and check each unit of the project , Take responsibility for the project 、 Progress, etc. shall be specifically implemented to each participant of the project .

From data acquisition to data output , The process specification can be traced , Efficiency is much higher than industry standards .

Mark that the productivity of the base is stable

Jinglianwen technology has been in Hangzhou 、 wuhan 、 jinhua 、 Hengyang and other places have established data centers , Different marking bases undertake projects of different types and difficulties , Reduce the labor cost of labeling through regional differentiation management .

Establish and perfect personnel training 、 The management system , Launch and establish perfect personnel training 、 The management system , Launch a complete set of AI Industrial talent training solutions , Open theoretical courses respectively 、 Training courses 、 Graduation examination and other training programs , Through the combination of theory and practice, deliver high-quality data annotators for the industry . At present, the proportion of full-time staff with bachelor's degree is 30%, Proportion of junior college students 65%,90% The above annotators are competent 3D Point cloud and other high threshold annotation items .

By building a mature promotion mechanism , Create clear career growth plans for different positions , Strengthen humanistic care for employees , The mature project manager of jinglianwen Technology 、 Annotator 、 The turnover rate of quality inspectors is relatively low . Thus ensuring the smoothness of large-scale project docking , Reduce the training cost and duration extension caused by personnel instability .

Technology assisted cost reduction and efficiency increase

Jinglianwen data annotation platform has a real-time quantitative visual management system , Set data management 、 project management 、 Personnel management 、 Supply chain management and other functions are integrated ; It can realize automatic annotation or semi-automatic auxiliary annotation 、AI Algorithm preprocessing 、 Support automatic quality inspection and other functions , Support localized deployment and deployment SAAS service , Effectively reduce project costs , Improve data accuracy and quality .

for example JLW The algorithm team has hundreds of thousands of frames 3D Learn and train intelligent lane line annotation from point cloud annotation data , Combined with human-computer interaction , Accurately locate the lane line .

Pure low price is worthless , The low price strategy of jinglianwen is to improve the efficiency of operation and maintenance 、 Stable labeling productivity 、 Increase technical investment 、 Reduce costs and other ways to achieve , Make every effort to ensure data quality .