Using deep learning to accurately identify moss

Machine vision has come on an awful lot in recent years, and I’ve covered a number of the innovations that have helped that march.  For instance, only recently I covered the creation of a new 4D camera that can generate images images across 138 degrees of information.  The team believe that the devices will provide a huge boost to the capabilities of a range of autonomous technologies that need to understand the environment within which they operate.

Even then though, some objects remain incredibly challenging to pick up, with things like grass something that has traditionally stumped the algorithms.  That’s because such objects are amorphous and therefore hard to define.

This is especially crucial when applied to things such as the analysis of tress or crops from aerial imagery, whether that’s for farming or utility maintenance work.

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