An Effective Approach to Improve the Accuracy of Complex Scene Recognition
The following strategies can be adopted to improve the recognition accuracy in complex scenes:
- Select the appropriate data source:Prioritize data acquisition using LiDAR or RGBD cameras, which provide more accurate depth information than monocular cameras
- Customized category detection:Use the -category parameter to limit the detection range to avoid interference from extraneous objects.
- Model version selection:Newer SpatialLM 1.1 versions usually have better performance, and the right number of parameters can be chosen according to the hardware conditions
- Data preprocessing:Noise reduction and filtering of the input point cloud to remove isolated points
In commercial application scenarios, it is recommended to evaluate the effect of different parameter combinations on a test set before formal deployment.
This answer comes from the articleSpatialLM: Sweep the room, AI automatically draws 3D models for youThe
May not be reproduced without permission:AI productivity tools " How to improve the accuracy of SpatialLM for object recognition in complex scenes?
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