five

emulsion explosive dataset

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DataCite Commons2025-12-10 更新2025-04-16 收录
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https://osf.io/9m5wr/
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The emulsion explosive dataset belongs to the grasping dataset. Taking into account the input parameter characteristics of the SimAM-GRCNN grasping model, three types of target grasping information were extracted during the training of the Jacquard grasping dataset: RGB.png, perfect_depth.tiff, and grasps.txt. RGB.png is a PNG image rendered using Blender. perfect_depth.tiff is a float32 tiff depth image obtained by overlaying the PNG image. Grasps.txt is a text file containing target grasping information. Cite this article Yi, J., Liu, P., Gao, J. et al. An intelligent emulsion explosive grasping and filling system based on YOLO-SimAM-GRCNN. Sci Rep 14, 28425 (2024). https://doi.org/10.1038/s41598-024-77034-0
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OSF
创建时间:
2023-11-07
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