Abstract: A golf club identification apparatus includes a feature identification module that receives digital images of a golf club from a camera, automatically identifies features of the golf club in the digital images using a machine learning model, and generates feature confidence values for the identified features of the golf club. Each one of the feature confidence values represents a numerical likelihood that the identified feature associated with the feature confidence value corresponds to an actual feature of the golf club.

Abstract: Apparatus for a machine-learning-based golf club fitting platform is disclosed. An apparatus includes a processor and a memory. The memory stores code executable by the processor to receive a first set of golf swing data for a user, the first set of golf swing data representative of one or more characteristics of a golf swing of the user; determine one or more optimal specifications of at least one hypothetical golf club that is a best fit for the user using a property prediction machine learning model based on the first set of golf swing data; and determine at least one pre-existing golf club, comprising predefined specifications, that is a best match for the user based on a comparison of the determined one or more optimal specifications of the at least one hypothetical golf club to the predefined specifications of a plurality of different pre-existing golf clubs.

Abstract: Apparatus for a machine-learning-based golf club fitting platform is disclosed. An apparatus includes a processor and a memory. The memory stores code executable by the processor to receive a first set of golf swing data for a user, the first set of golf swing data representative of one or more characteristics of a golf swing of the user; determine one or more optimal specifications of at least one hypothetical golf club that is a best fit for the user using a property prediction machine learning model based on the first set of golf swing data; and determine at least one pre-existing golf club, comprising predefined specifications, that is a best match for the user based on a comparison of the determined one or more optimal specifications of the at least one hypothetical golf club to the predefined specifications of a plurality of different pre-existing golf clubs.

Abstract: Disclosed herein is a golf club head that includes a forward portion, including a strike face, a crown portion, a rear portion, an interior cavity, and a trihedral corner reflector permanently embedded in, integrally formed in, or attached to at least one of the crown portion or the rear portion.

Abstract: Apparatus for a machine-learning-based golf club fitting platform is disclosed. An apparatus includes a processor and a memory. The memory stores code executable by the processor to receive a first set of golf swing data for a user, the first set of golf swing data representative of one or more characteristics of a golf swing of the user; determine one or more optimal specifications of at least one hypothetical golf club that is a best fit for the user using a property prediction machine learning model based on the first set of golf swing data; and determine at least one pre-existing golf club, comprising predefined specifications, that is a best match for the user based on a comparison of the determined one or more optimal specifications of the at least one hypothetical golf club to the predefined specifications of a plurality of different pre-existing golf clubs.