understand.ai’s Post

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We point the direction towards annotation excellence. Dealing with sparse #LiDAR data is a significant challenge in large-scale projects. It can result in subjective and error-prone labeling and lead to unreliable training data and model performance. Frame-by-frame identification often also results in errors, missing objects, and reduced accuracy causing data rejections or costly re-recordings.  At understand.ai, we address this challenge by enriching point clouds through "stitching." This process not only allows us to accurately capture tricky objects, it also reduces the need for multiple annotations by marking static objects only once on stitched point clouds. Through this data enhancement process, we save time and cut costs while ensuring precise annotation. Stay tuned as we delve more into our approach for better, more efficient #annotation data. #CICD #DataDrivenDevelopment #understandai

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