The RK3588 series image processing board launched by Rockchip has become the pinnacle of domestic performance boards, making it a preferred choice for research and development across various fields. It can achieve stable target detection, recognition, and tracking, providing significant research and development value.
Especially for universities, using RK3588 as a research topic is a great choice. The primary challenge in this process is how to enable algorithms to more accurately recognize and detect targets.
To enable AI algorithms to more accurately recognize and detect targets, we can leverage the deep learning capabilities of AI, allowing it to continuously learn the characteristics of these targets to achieve precise recognition. This process requires extensive data annotation to train the AI.
However, the extensive annotation work often troubles developers. If traditional methods are used to manually annotate images frame by frame, it will consume a lot of time and effort, which is not conducive to students’ research projects.
The emergence of SpeedDP perfectly addresses this issue. It is a deep learning algorithm development platform based on Rockchip, providing a visual AI development function from data annotation, model training, testing validation to model deployment on RockChip embedded hardware platforms.
The platform supports localized server deployment, so users with sensitive data, such as universities and special units, need not worry about data leakage.
Universities and similar institutions can create AI models that meet their needs through model training and evaluation functions, aiding in the annotation of massive new data. This will not only save a significant amount of data annotation time but, more importantly, enhance their algorithms’ detection and recognition capabilities on the RK3588 image processing board.
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SpeedDP! An ultra-convenient AI automatic image annotation tool with rich features, saving time and effort.
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