Data creation device, program creation device, object detection device, data creation method, and object detection method

An object detection device comprising:

• a storage unit that stores a trained program created by associating area information of an object with image data and performing deep learning on training data that includes a plurality of image data in which the area information is included;
• and
• a calculation unit that executes the trained program stored in the storage unit, processes image data of an area that is included in an anchor set with respect to a cell, and executes object detection processing from the image data, wherein
• the calculation unit executes the trained program with respect to the image data, calculates a score in each cell, and determines that there is an object in a case where there is a cell whose score is equal to or higher than a first threshold value, and
• determines that there is an object at a boundary of an anchor when the score satisfies a predetermined condition, based on a score of a cell and a score of a cell related to the cell, in a case where there is no cell whose score is the first threshold value.

An object detection device comprising:

• a storage unit that stores a trained program created by associating area information of an object with image data and performing deep learning on training data that includes a plurality of image data in which the area information is included;
• and
• a calculation unit that executes the trained program stored in the storage unit, processes image data of an area that is included in an anchor set with respect to a cell, and executes object detection processing from the image data, wherein
• the calculation unit executes the trained program with respect to the image data, calculates a score in each cell, creates image data in which a position of the image data is moved by a distance shorter than the cell in which an anchor is installed, executes the trained program, repeats processing of calculating the score in each cell, and executes the object detection processing from the image data, based on score calculation results with respect to a plurality of image data whose positions have been moved.

A data creation method for creating training data which is used for deep learning of an object detection program for detecting whether or not an object is included in an image, the method comprising:

• a step of acquiring an anchor which is information on a frame specifying an area for each cell for detecting presence or absence of the object from the image;
• and
• a step of associating area information of the object with image data to create training data that includes a plurality of image data in which the area information is included, wherein
• in the step of creating the training data, a frame of the area information is determined based on a position of the anchor.

An object detection method comprising:

• a step of storing a trained program created by associating area information of an object with image data and performing deep learning on training data that includes a plurality of image data in which the area information is included;
• and
• a step of executing the stored trained program, processing image data of an area that is included in an anchor set with respect to a cell, and executing object detection processing from the image data, wherein
• in the step of executing object detection processing, the trained program is executed with respect to the image data, a score of each cell is calculated, and in a case where there is a cell whose score is equal to or higher than a first threshold value, it is determined that there is an object, and
• in a case where there is no cell whose score is the first threshold value, it is determined that there is an object at a boundary of the anchor when the score satisfies a predetermined condition, based on a score of a cell and a score of a cell related to the cell.

An object detection method comprising:

• a step of storing a trained program created by associating area information of an object with image data and performing deep learning on training data that includes a plurality of image data in which the area information is included;
• and
• a step of executing the stored trained program, processing image data of an area that is included in an anchor set with respect to a cell, and executing object detection processing from the image data, wherein
• in the step of executing object detection processing, the trained program is executed with respect to the image data, a score of each cell is calculated, image data in which a position of the image data is moved by a distance shorter than the cell in which an anchor is installed is created, the trained program is executed, processing of calculating a score in each cell is repeated, and the object detection processing is executed from the image data, based on score calculation results with respect to a plurality of image data whose positions have been moved.