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What is Landing Ai?
Landing AI is a computer vision platform that enables companies to analyze visual data such as images and videos using AI. Founded by Andrew Ng, it solves the problem of building custom vision models without deep expertise. Core capabilities include object detection, counting, segmentation, video Q&A, and activity tracking. Users can upload, label, train, and predict on their data. It supports LVMs (Large Vision Models) and LMMs (Large Multimodal Models). The tool is ideal for industries like manufacturing, healthcare, agriculture, automotive, and retail. It offers a web-based interface with a free trial and paid plans starting at $50/month.
AI Tool Review Summary
Performance Score
4.5/5
Content/Output Quality
High, consistent, and on-brand
Interface
User-friendly and intuitive
AI Technology
LLMComputer VisionNLP
Purpose of Tool
Transform images, videos, and text into object detection, counting, segmentation, video Q&A, and activity tracking.
Compatibility
Web-based interface, accessible from any modern browser.
Pricing
Free trial with limited credits; paid plans start at $50/month.
Features
Features with the highest value for users are highlighted here.
Object detection
Image segmentation
Video Q&A
Activity tracking
Custom LVM/LMM models
Upload, label, train, predict workflow
Domain-specific AI
Web-based interface
Who Is It For?
Manufacturing companies
Healthcare professionals
Farmers and agronomists
Automotive industry
Retail and e-commerce
Security teams
Food industry
Real estate professionals
AI researchers
Small business owners
Pricing
Free
$0/monthly
- 1000 credits/month
- Labeled images
- Unlimited detection for projects
- Model training
- Cloud inference
- 1 active project for model downloads
Popular
Paid Plan
$50/monthly
- 5000 credits/month
- All free features
- 3 active projects for model downloads
- Invite up to 15 users
- Extra credits at $0.01 each
Join the Command Staff.
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Pros & Cons
Pros
- Best for detecting data with proofs using domain-specific AI models.
- Supports visual AI and computer vision technology for diverse detection tasks.
Cons
- LVMs are limited to a specific domain, reducing generalizability.
- Challenges regarding privacy and security of data, and training required.
FAQs
Just Launched
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