Automatic generation of odata services from sketches using deep learning

A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations for automated provisioning of Open Data Protocol (OData) services using machine learning (ML) models, the operations comprising:

• receiving, by an OData service generation platform executed in one or more cloud-computing environments, an image comprising data representative of a sketch on a physical artifact, the image being provided as a computer-readable image file;
• processing, by the OData service generation platform, the image using a set of ML models to detect depiction of two or more entities and at least one association between entities, the set of ML models comprising at least one layout analysis ML model to identify two or more sections within images, at least one object detection ML model to identify one or more of entities and associations in each section of the two or more sections, and at least one text recognition ML model to determine text associated with entities in sections;
• generating, by the OData service generation platform, an entity data model (EDM) based on output of the set of ML models, the output comprising the two or more entities and the at least one association;
• and
• providing, by the OData service generation platform, an OData service based on the EDM.

A system, comprising:

• a computing device;
• and
• a computer-readable storage device coupled to the computing device and having instructions stored thereon which, when executed by the computing device, cause the computing device to perform operations for automated provisioning of Open Data Protocol (OData) services using machine learning (ML) models, the operations comprising:
• receiving, by an OData service generation platform executed in one or more cloud-computing environments, an image comprising data representative of a sketch on a physical artifact, the image being provided as a computer-readable image file;
• processing, by the OData service generation platform, the image using a set of ML models to detect depiction of two or more entities and at least one association between entities, the set of ML models comprising at least one layout analysis ML model to identify two or more sections within images, at least one object detection ML model to identify one or more of entities and associations in each section of the two or more sections, and at least one text recognition ML model to determine text associated with entities in sections;
• generating, by the OData service generation platform, an entity data model (EDM) based on output of the set of ML models, the output comprising the two or more entities and the at least one association;
• and
• providing, by the OData service generation platform, an OData service based on the EDM.