Determination of population density using convoluted neural networks

One or more computer-readable non-transitory storage media embodying software that is operable when executed to:

• receive an image;
• execute a weakly-supervised classification algorithm to determine whether a target feature is present in the received image;
• in response to determining that a target feature is present, use a weakly-supervised segmentation algorithm of the convoluted neural network to segment the received image for the target feature and determine a footprint size of the target feature;
• and
• calculate a distribution of statistical information over the target feature based on the determined footprint size of the target feature.

A system comprising:

• one or more processors;
• and a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to:
• receive an image;
• execute a weakly-supervised classification algorithm to determine whether a target feature is present in the received image;
• in response to determining that a target feature is present, use a weakly-supervised segmentation algorithm of the convoluted neural network to segment the received image for the target feature and determine a footprint size of the target feature;
• and
• calculate a distribution of statistical information over the target feature based on the determined footprint size of the target feature.