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 […]
LandingLens offers parallel training for Custom Training! Parallel training is the process of training multiple models simultaneously. This is helpful if you want to compare performance between model training settings. The Custom Training process is designed for users who are familiar with machine learning concepts and understand how the different settings impact the resulting model. […]
To learn more about the Electrical Grid Inspection Use case, read blog here.
In LandingLens, you can quickly and easily compare model performance across multiple datasets in a single project. You can also see how the same model—but with different confidence threshold scores—performs on the same datasets. There is no one-size-fits-all solution, but quickly comparing model performance can help you identify 1) what model works best for your […]
When training a machine learning model, we mostly think about modifying the model architecture or model hyperparameters to improve performance. However, oftentimes we can actually get larger performance gains by modifying the data itself. Deep learning models are great pattern matchers but they tend not to generalize too much from the data you give it. […]
The Need for Fast & Light Architectures At LandingAI, we are continuously looking to find ways to provide our customers access and use of a wide variety of model options. In many of our real-world customer applications, we have found a strong need for high throughput applications that need to run on smaller edge devices. […]
Have you ever wondered what specific characteristics models consider when they’re making predictions? For Classification projects, you can view a heat map to see just that. Watch this tutorial video to learn more.
In LandingLens, you can train a model based on the data in a snapshot. This AI model training process allows you to generate multiple models on different datasets in a single project. When you train a model this way, you will use Custom Training. Check out this tutorial video on our snapshot AI model training […]
Make AI Accessible for Kids and Everyone How can we make AI accessible to everyone, especially underprivileged kids? Volunteers from Encepta, an infrastructure solution provider, and The C.O.D.E. Initiative, promoting digital literacy in underserved communities, took the challenge and teamed up to host an engaging workshop for underprivileged youth. During this workshop, participants learned how […]
Artificial Intelligence can allow electrical engineers to achieve interpretability and effectiveness like never before! What electrical grids and glass bottles have in common Electric grids are the backbone of our society, providing power to essential facilities like hospitals, factories, and schools. They are also responsible for keeping the internet running and enabling everyday activities that […]
LandingLens offers parallel training, which means when one model is training, you can start training another model. Machine learning parallel processing is helpful if you want to compare performance between multiple datasets or model training settings. Watch this AI parallel training tutorial video to learn more.
Let’s say you recently trained your model and analyzed its performance. Your model isn’t performing as well as you’d like, so you want to improve its performance. LandingLens offers several methods to help better the performance of your model. This tutorial video explores eight techniques to improve model performance.
It was another big year for LandingAI and our flagship product that makes computer vision projects possible for all—LandingLens. LandingLens makes it fast and easy for companies to create and test computer vision AI projects within minutes. No complex programming or AI experience is needed. It’s been a revolutionary year for computer vision, according to […]
In the automotive industry, precision and perfection are necessities, not just goals. Therefore, ensuring the highest quality in exterior parts is paramount. This is where the innovative collaboration between LandingAI and Micro-Epsilon comes into play by using computer vision to revolutionize automotive quality control, enabling advanced surface inspections on exterior parts with reflective surfaces. Overcoming […]
In LandingLens, you can revert projects you own from a Snapshot. This is useful if you saved a snapshot, added images and labels to it, then decided the new images are no longer relevant to your project, so you want to return to the first dataset. You can do this by reverting to the snapshot […]
In LandingLens, you can create a new project by copying a snapshot. This is useful so you can change the copy without altering the original data. Check out this tutorial video to learn more.
Check out the latest AI highlights and updates from LandingAI in December 2023.
LVMs enable enterprises to more quickly solve computer vision problems; LandingAI to help enterprises build and run LVMs at the edge, on-prem, and in the cloud Palo Alto, CA., December 4, 2023 — LandingAI, the leading computer vision cloud platform, announced the launch of its capability to help enterprises build domain-specific large vision models […]
LandingAI Unveils the Power of Domain-Specific Large Vision Models: Revolutionizing the Way We See the World!
LandingLens offers many options for uploading images to your projects, including the ability to upload pre-labeled images. If you have a Segmentation project, you can upload pre-labeled images by uploading them, their segmentation masks, and a defect map. Check out this tutorial video for more information.
You can create an AI snapshot of some or all of the images in your project at any time. A snapshot includes the selected images and their labels, metadata, tags, and labeling tasks. With these AI snapshots, you can quickly perform actions, like training a model using only the snapshot or creating new projects from […]
In LandingLens, you can apply tags to images. This lets you quickly perform an action, like creating labeling tasks or splits. See how this works by watching this tutorial video.