IEEE 3110-2025
IEEE Standard for Computer Vision (CV)--Technical Requirements for Algorithms Application Programming Interfaces (APIs) of Deep Learning Framework
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About This Item
IEEE 3110-2025 defines technical requirements for algorithms application programming interfaces (APIs) used with deep learning frameworks in computer vision. This standard helps clarify how software components should interact so that vision algorithms can be integrated, tested, and maintained with greater consistency. By focusing on interface requirements rather than model content alone, IEEE 3110-2025 supports more reliable development, smoother interoperability, and clearer expectations for engineering teams working in computing and processing environments.
About IEEE 3110-2025
IEEE 3110-2025 is a technical standard centered on the API layer that connects computer vision algorithms with deep learning frameworks. Its purpose is to improve consistency in how algorithm functions are exposed, called, and managed across software implementations. For teams building or evaluating vision software, the document can serve as a reference point for interface design, conformance review, and internal specification work. In practice, IEEE 3110-2025 helps define a more structured approach to algorithm integration.
Where is IEEE 3110-2025 used?
This standard is most relevant in computer vision software development, especially where deep learning frameworks are used to implement or deploy algorithms through APIs. It may be applied in image analysis pipelines, model integration layers, and software platforms that need predictable algorithm access across tools or modules. IEEE 3110-2025 can also be useful in engineering environments that require repeatable interface behavior for testing, maintenance, or procurement of vision-related software components.
Importance in practice
In practice, IEEE 3110-2025 matters because well-defined API requirements can reduce integration errors and make technical reviews more straightforward. Clear interface expectations support better consistency across implementations, which is important when comparing solutions or validating software behavior. For organizations working with computer vision and deep learning, the standard may help improve design control, simplify compliance checks, and reduce risk when algorithms are moved between development, test, and operational settings. IEEE 3110-2025 supports more disciplined engineering decisions.
- Computer vision algorithm API requirements
- Deep learning framework interface consistency
- Software integration and validation support
- Engineering reference for implementation review
- Technical focus on computing and processing systems
- Publication Date: 2025
- Standard Status: Active
- Publisher: IEEE
- Subject: Computing and Processing
- Official IEEE: Doi link
- This Version: 3110 (2025)
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