Domain-Specific Large Vision Models (LVMs)

Supercharging Your Computer Vision Applications

Build your own LVM using proprietary images to accelerate model development and supercharge your model performance

Domain-Specific Large Vision Models (LVMs)

Gain Insights From Your Vision Data

Domain-specific LVMs are foundation models trained using your proprietary data. Your LVM serves as a foundational tool to train downstream models more efficiently, in less time, and with higher performance.

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Why LandingAI Domain-Specific LVMs

Understand Your Data

Understand your unlabeled images without needing a tedious labeling process for your model training.

Higher Accuracy

Domain-specific LVMs accurately capture crucial image features, ensuring higher accuracy for your vision applications.

Speed to Production

Eliminate the need to build new models from scratch. Achieve target accuracy for vision applications with less labeled data and effort.

Seamless Integration

Integrate LVMs with LandingLens & LandingEdge, an end-to-end computer vision platform, for building and deploying applications.

Understand Your Data

Pathology Example

Accurately captures essential features within the image.


	Generic LVM	Domain-Specific LVM

Image Source: Silva-Rodríguez, Julio (2020), “SICAPv2 – Prostate Whole Slide Images with Gleason Grades Annotations”, Mendeley Data, V2, doi: 10.17632/9xxm58dvs3.2

Semiconductor Wafer Example

Better distinguishes defects from part features.


	Generic LVM	Domain-Specific LVM

Image Source: “Automatic defect classification (ADC) solution using data-centric artificial intelligence (AI) for outgoing quality inspections in the semiconductor industry”, Proc. SPIE 12496, Metrology, Inspection, and Process Control XXXVII, 1249635 (27 April 2023); https://doi.org/10.1117/12.2658434