Data Annotation and Management tool
Dao, Quan (2022)
2022
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2022120927447
https://urn.fi/URN:NBN:fi:amk-2022120927447
Tiivistelmä
The aim of this thesis is to provide the annotation tool to the commissioning company, Verso Vision Oy, with a added-in data management feature which are reliable, dynamically, and easy to configure.
Verso Vision is one of the leader in the field of using AI vision technology to prevent falls of patients in hospitals. The company’s softwares and solutions have been used and trusted widely in Finland, such as HUS, Jorvi Hospital, Hyvinkää Hospital, …, and also in other countries.
As the solution depended heavily on AI, the data annotation is one of the most important part to help us success in our work. With this annotation and management tool, the AI team can do the annotation and organize the data easily, reducing the efforts for the models training sessions.
Because of strictly following GDPR (General Data Protection Regulation) laws, any non-public data related to the company will be redacted in this thesis.
The final products will be evaluated and used by the commissioning company, and recommendations for the future improvement will be given after that.
Verso Vision is one of the leader in the field of using AI vision technology to prevent falls of patients in hospitals. The company’s softwares and solutions have been used and trusted widely in Finland, such as HUS, Jorvi Hospital, Hyvinkää Hospital, …, and also in other countries.
As the solution depended heavily on AI, the data annotation is one of the most important part to help us success in our work. With this annotation and management tool, the AI team can do the annotation and organize the data easily, reducing the efforts for the models training sessions.
Because of strictly following GDPR (General Data Protection Regulation) laws, any non-public data related to the company will be redacted in this thesis.
The final products will be evaluated and used by the commissioning company, and recommendations for the future improvement will be given after that.