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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
4.5/5
High, consistent, and on-brand
User-friendly and intuitive
LLMComputer VisionNLP
Transform images, videos, and text into object detection, counting, segmentation, video Q&A, and activity tracking.
Web-based interface, accessible from any modern browser.
Free trial with limited credits; paid plans start at $50/month.
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
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
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
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Pros & Cons
Best for detecting data with proofs using domain-specific AI models. Supports visual AI and computer vision technology for diverse detection tasks.
LVMs are limited to a specific domain, reducing generalizability. Challenges regarding privacy and security of data, and training required.
FAQs
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Rating
5.0
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