Why Landing AI Domain-Specific LVMs
Understand Your Data
Understand your unlabeled images without needing a tedious labeling process for your model training.
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.
Integrate LVMs with LandingLens & LandingEdge, an end-to-end computer vision platform, for building and deploying applications.
Understand Your Data
Accurately captures essential features within the image.
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.
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
Higher Accuracy with Lower Efforts for Downstream Tasks
36% – 52% lower error
Need only 10-30% as much labeled data to achieve same level of performance
Expedite Speed to Production
Other Computer Vision Solutions
Lengthy model development/deployment (avg. 6 months) without knowledge transfer between projects
Once a DS LVM is developed, teams can quickly deliver high-performing models for downstream applications.
Integrate Your LVMs with LandingLens
- An intuitive platform for easy model building and deployment with a few clicks.
- Maximum flexibility and seamless integration into your current environments via cloud, edge device, and Docker deployment options.
- Maintain control over model performance and facilitate continuous learning.
Build Vision Applications with
Part or Object Location
Build Your Computer Vision Applications with Domain-Specific LVMs
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