Feature extraction, labelling, and object feature map

A non-transitory machine-readable medium including instructions that, when executed by a machine, cause the machine to perform operations for machine learning (ML) model generation, the operations comprising:

• generating image chips of an image, the image chips each providing a view of a different extent of an object in the image;
• based on an object definition that indicates respective features of the object and a location of the respective features along a length of the object, determining whether any of the image chips include any of the respective features;
• labeling each image chip of the image chips to include an indication of any of the features included in the image chip resulting in labelled image chips;
• and
• training an ensemble classifier based on the labelled image chips resulting in a trained ensemble classifier.

A device comprising:

• a memory device including instructions stored thereon;
• and
• processing circuitry coupled to the memory device, the processing circuitry configured to execute the instructions, the instructions, when executed by the processing circuitry cause the processing circuitry to perform operations for machine learning (ML) model generation, the operations comprising:
• generating image chips of an image, the image chips each providing a view of a different extent of an object in the image;
• based on an object definition that indicates respective features of the object and a location of the respective features along a length of the object, determining whether any of the image chips include any of the respective features;
• labeling each image chip of the image chips to include an indication of any of the features included in the image chip resulting in labelled image chips;
• and
• training an ensemble classifier based on the labelled image chips resulting in a trained ensemble classifier.