Machine learning apparatus and method for object detection

A machine learning apparatus comprising:

• a feature extractor configured to extract features from an object region of an image;
• a label processor configured to create sentence label embeddings from a sentence label corresponding to the object region of the image;
• a first training data creator configured to extract first sub-features from a plurality of first sub-regions created by partitioning the object region of the image, add the sentence label embeddings to the extracted first sub-features, and add the first sub-features added with the sentence label embeddings to the features of the object region of the image;
• a second training data creator configured to extract a plurality of second sub-regions along a bounding surface of the object region of the image, create an attention matrix from the second sub-regions, and create a training data by applying the attention matrix to the features of the object region;
• and
• a trainer configured to train an object detection model using the training data.