Object detection

A computer system, comprising:

• a non-transitory memory storing one or more programs configured to be executed by one or more processors, the one or more programs including instructions for:
• determining at least one typical object ratio from a first training data set by counting ratios of objects in training pictures of the first training data set;
• determining at least one picture scaling size based at least on the at least one typical object ratio;
• scaling the training pictures of the first training data set according to the at least one picture scaling size;
• obtaining a second training data set by slicing the scaled training pictures;
• training an object detection model using the second training data set;
• and
• performing object detection on a to-be-detected picture using the trained object detection model.

A non-transitory computer-readable storage medium that stores one or more computer programs comprising instructions that, when executed by one or more processors of a computer system, cause the computer system to perform operations comprising:

• determining at least one typical object ratio from a first training data set by counting ratios of objects in training pictures of the first training data set;
• determining at least one picture scaling size based at least on the at least one typical object ratio;
• scaling the training pictures of the first training data set according to the at least one picture scaling size;
• obtaining a second training data set by slicing the scaled training pictures;
• training an object detection model using the second training data set;
• and
• performing object detection on a to-be-detected picture using the trained object detection model.