Inference learning device and inference learning method

An inference learning device, comprising:

• an input device for inputting image data from an image acquisition device;
• a learning device for obtaining an inference model by learning using training data that has been obtained by performing annotation of the image data;
• and
• an image processing device that, for image data that has been obtained continuously in time series from the image acquisition device, makes provisional training data by performing the annotation on a plurality of items of data that have been obtained from data that was obtained at a given first time to a second time that has been traced back to a predetermined time, and makes data, among the provisional training data that has a high correlation of causal relationship with the data of the first time, into adopted training data, which is training data used in the learning device;
• wherein image data input to the input device has one of:
• metadata, showing that the image data is data having a possibility of being associated with a cause or an effect, attached,
• metadata, showing that there is likely to be a cause, is attached to data showing that there is some cause, among image data input by the input device, or
• metadata, showing that there is likely to be a second effect resulting from the first effect, is attached to data showing the first effect based on some cause, among image data input by the input device.