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Mapillary Now Able to Recognize and Label Objects in the Wild

• visarga 10y ago
  They apply CNNs to label pixels. The result could be used to improve other computer vision tasks. Applied to maps they think it would be good to measure vegetation density or the availability and sidewalks. Hmm... okay.? I dunno what I expected.
  • deleted 10y ago
    [deleted]
• aisofteng 10y ago
  >Here is a short list of areas where semantic segmentation is available: Graz, Paris, San Francisco, Hong Kong, Dar es Salaam, and Mexico City. If the method is general, why only these areas?
  • milliams 10y ago
    I'm guessing limited computing power while refining the algorithms.
  • petern 10y ago
    It's because we need to upgrade and optimize some of the backend storage layout in order to cope with the data produced. (I'm part of the Mapillary team)
    • aisofteng 10y ago
      Thanks for elucidating - makes sense.