Empower Your Vision with Domain-Specific LVMs
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LVMs are trained on your image dataset for your downstream vision tasks. Gain intelligence from your unlabeled images.
Accurate results
Enhanced accuracy in completing computer vision tasks through improved intelligence of your LVMs.
Flexible deployment
Seamless integration made easy with Cloud, Edge, and Docker deployment options.
Unlimited scalability
Your domain-specific LVM acts as a pre-built template, eliminating the need to build a new model from scratch.
Vision Applications Across All Industries
Automotive
Agriculture
Electronics
Manufacturing
Food & Beverages
Infrastructure
Medical Devices
Pharma
The Computer Vision Cloud Platform
Upload & label your images
- The labeling tools within LandingLens efficiently create high-quality data, enhancing the accuracy of your AI model.
- Enhance collaboration within your team with the Label Book, ensuring consistent, agreement-based labeling to guarantee high-quality data.
- Streamline the tracking of image dataset versions for model training using Dataset Snapshots.
Train your model and evaluate its performance
- Enhance model performance by using the single-click training options in LandingLens, which automatically fine-tunes your models.
- Access a comprehensive report to gain insights into your models’ performance metrics, and analyze errors to improve and optimize its capabilities.
- Experience Visual Prompting and effortlessly build computer vision systems in minutes through intuitive and natural prompts.
View your model’s predictions and deploy
- Test and deploy your model with just a few mouse clicks. Integrate effortlessly into your existing environments with the deployment capabilities of cloud and edge devices.
- Gain maximum flexibility and integrate effortlessly into your existing environments with the cloud, edge device, and Docker deployment capabilities.
- Stay in control of your model’s performance and enable continuous learning by leveraging end-to-end platforms.
Build Your Computer Vision Applications with Domain-Specific LVMs
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