Top Posts
Introducing Field Extraction: Automate Data Extraction at Scale
Eolas Medical Enhances Clinical Knowledge Access with Agentic Document Extraction
Agentic Document Extraction: Live Demo & the Steps You Need to Get Started
Auto-Fill Job Applications with Agentic Document Extraction
Introducing Field Extraction: Automate Data Extraction at Scale
Over the past four months, LandingAI’s Agentic Document Extraction tool has seen rapid adoption across industries. Motivated by this momentum, our team has been hard at work expanding the tool’s capabilities. We’re excited to introduce a major new feature: Field Extraction. What Is Field Extraction? Field Extraction enables you to extract structured data directly from […]
Eolas Medical Enhances Clinical Knowledge Access with Agentic Document Extraction
About the Customer Eolas Medical is a leading healthcare technology company dedicated to streamlining access to medical knowledge right at the point of care. Founded by Dr. Declan Kelly, an emergency medicine physician by background, Eolas translates to “knowledge” or “information” in Irish, reflecting the company’s mission to empower clinicians with rapid, reliable access to […]
Agentic Document Extraction: Live Demo & the Steps You Need to Get Started
In this webinar, learn about Agentic Document Extraction (ADE), an agentic vision technology that revolutionizes how you extract and process structured data from complex documents. Designed for developers, this webinar demonstrates how ADE leverages layout-aware parsing, visual grounding, and agentic workflows to deliver high-accuracy extraction—without the need for manual template configuration or model fine-tuning. What […]
Auto-Fill Job Applications with Agentic Document Extraction
I’m sure—like myself and millions of others—you’ve spent hours copying and pasting the same information into job applications 🥱🎯. In this tutorial, we’ll walk through how you can build a powerful automation tool that extracts key data from your resume and fills out LinkedIn job applications for you—automatically! Thanks to LLMs, “developer” is now a […]
Check out a one-hour webinar to explore how Marvik.ai is leveraging AI and Landing AI’s computer vision platform LandingLens, in retail transformation. Learn first-hand about the typical challenges faced when calculating product shares on a shelf, including:
Watch this insightful webinar exploring how XBuild, a leading AI-powered construction platform, revolutionized its visual inspection process and dramatically reduced construction bid times. Learn how the integration of LandingLens, an advanced computer vision platform, transformed XBuild’s image classification workflow, resulting in unprecedented efficiency gains and improved accuracy. Key Highlights – Discover how XBuild automated their […]
We are excited to share a groundbreaking advancement in computer vision: Agentic Object Detection. Learn more at landing.ai/agentic-od. Key Features: • Text prompt-based detection – no labeling or training required • Advanced reasoning capabilities for high-quality outputs • Versatile detection of complex objects and scenarios Dive into our API to start building: https://va.landing.ai/demo/agentic-od How It […]
Agentic Object Detection (OD) is one of the tools available to developers within VisionAgent. It achieves highly competent zero-shot object detection on complex tasks by reasoning agentically about images. By applying agentic patterns such as planning, code generation, and tool use, Agentic OD can reliably detect everyday objects (e.g. “person”, “motorcycle”) as well as more […]
I recently decided to sell some of my old stuff online—shoes, furniture, random trinkets—and quickly realized how embarrassingly messy my apartment looked in photos. Think dustbins in the corner, socks tossed around, and random hair tufts on the floor. Definitely not the photo aesthetic that screams “Buy this now!” Instead of tidying up (who has […]
LandingLens offers several tools to help you analyze and understand model performance, including: F1 scores, Precision scores, Recall scores, confusion matrices, and more. Plus, you can view this data at the model level, class level, and evaluation set level. Use these tools and more to help you improve and iterate on computer vision models in […]
This solution architecture helps you build and deploy Visual AI solutions in Snowflake for Healthcare & Life Sciences. Some of the use cases are described below.
Get the most of your data by using LandingLens on Snowflake. Leverage a Snowflake environment to maintain data governance adopt computer vision without moving data. Streamline vision tasks and scale your solution across your organization. Learn more: https://landing.ai/snowflake Get started: https://app.snowflake.com/marketplace/providers/GZTYZ12K65BX/LandingAI
Introducing Agentic Document Extraction! Revolutionize how you handle documents with our cutting-edge technology. Unlike traditional OCR methods, Agentic Document Extraction takes a document, breaks it down into individual component pieces, and uses reasoning to examine and connect the components. This takes into account the document layout and visual elements, and not just the […]
XBuild: Revolutionizing Construction Management with AI Automation XBuild is an AI-powered construction platform that automates scope generation and insurance supplementation for contractors. By streamlining these tasks, XBuild enables contractors to undertake larger projects and secure faster approvals while minimizing overhead costs. Documentation Roadblock: Manual Image Analysis Challenges XBuild’s application requires users to submit detailed damage […]
Learn how to run LandingLens model inferences directly in Snowflake using SQL. Use the core.run_inferences() function to perform both batch and single-image inference on your datasets. Then insert the inferences as structured data into a new Snowflake table. More detail on this process and sample code are available in the LandingAI Support Center. Learn More […]
VisionAgent is the Visual AI pilot from LandingAI. Enter your prompt and an image or video file, and VisionAgent intelligently selects the tools and vision models best suited for your unique use case. It then generates code, empowering you to build vision-enabled apps in minutes.In this video, learn how to deploy and test your code! You […]
This video demonstrates how to use LandingLens to train a computer vision model for a multiclass classification project using an open-access retinopathy of prematurity dataset. It covers the end-to-end process, including data preparation, model training with custom augmentations, performance evaluation, and deploying the model for API-based inference. LandingLens achieves a F1 score of 92 on […]
Picture this: you pull into a busy community parking lot or a shopping mall, and instead of driving circles to hunt for an open space, a digital sign or an app guides you straight to the nearest empty spot. That’s the promise of an automated, camera-based parking detection system. In this post, we’ll take a […]
There are several ways to upload images into LandingLens, the Visual AI platform from LandingAI. Watch this video to learn how to upload images from a smartphone directly into a LandingLens project.
There are several ways to upload images into LandingLens, the Visual AI platform from LandingAI. Watch this video to learn how to upload images from a webcam directly into a LandingLens project.
There are several ways to upload images into LandingLens, the Visual AI platform from LandingAI. Watch this video to learn how to classify (label) images at upload in a Classification project.
There are several ways to upload images into LandingLens, the Visual AI platform from LandingAI. Watch this video to learn how to upload a labeled Segmentation dataset into a LandingLens project. LandingLens supports uploading labeled Segmentation datasets with images, Segmentation Masks, and Defect Maps (also called Class Maps). We provide Helper Scripts to convert COCO […]
Unlock the full potential of LandingLens and Snowflake by building custom, secure Streamlit apps for image review, MLOps, dashboards and other applications. Learn how to integrate image inference data with structured datasets, build interactive applications, and drive continuous model improvement.
Learn how to improve your vision model’s performance in LandingLens by integrating human judgment into the machine learning workflow. Discover how to review predictions, prioritize critical errors, and use expert feedback to drive continuous improvement and refine your model.
There are several ways to upload images into LandingLens, the Visual AI platform from LandingAI. Watch this video to learn how to upload a labeled Object Detection dataset into a LandingLens project. LandingLens supports uploading labeled Object Detection datasets in the Pascal VOC format. We provide Helper Scripts to convert COCO and YOLO datasets to […]
This tutorial will show developers how to build a Visual AI application very quickly. We will write a Python program that detects produce items in a refrigerator and checks a supermarket flyer for applicable discounts. No prior computer vision experience is required.
VisionAgent from LandingAI is a tool for developers to get vision-enable apps to production faster.
In this recorded webinar, Erica Gilbert (LandingAI Customer Success Engineer) shares key updates from 2024 and a glimpse into the 2025 roadmap. Watch to learn about: Label Assist Model Comparison Prediction CSV Download LandingLens on Snowflake VisionAgent Exciting updates coming in 2025!
To build a successful career in AI vision, aspiring professionals need expertise in programming, machine learning, data analytics, and computer vision algorithms, along with hands-on experience solving real-world problems.
Advances in AI-powered computer vision are changing retail by supporting everything from store layouts to inventory management.