LandingAI
LandingAI
  • Видео 120
  • Просмотров 197 114
LandingLens on Snowflake: Overview and Demonstration
LandingLens on Snowflake is a native Snowflake application. LandingLens empowers users to create and train Visual AI models quickly. Watch this overview video to see how it works. The LandingLens Visual AI Platform guides you through the process of uploading images, labeling them, training models, comparing model performance, and deploying models.
Learn more:
landing.ai/snowflake
Get started:
app.snowflake.com/marketplace/listing/GZTYZ12K65D7/landingai-landinglens-visual-ai-platform
Video transcript:
Hello, I’m Andrea Kropp - a Machine Learning Engineer at LandingAI and it is my pleasure to give you a tour of LandingLens Native App on Snowflake. Everything you are about to see is within your Sn...
Просмотров: 72

Видео

VisionAgent in Action
Просмотров 716Месяц назад
Dr. Andrew Ng and the LandingAI Machine Learning Engineers demo VisionAgent, the agentic workflow solution from LandingAI. Check out these VisionAgent resources: - VisionAgent web-based tool: va.landing.ai/ - VisionAgent repo: github.com/landing-ai/vision-agent - Discord: discord.com/channels/1011796394090168390/1011796394090168393
Hands-On Lab: Mastering Visual AI
Просмотров 3872 месяца назад
Watch this immersive, hands-on webinar where you'll explore LandingLens's practical, cutting-edge features. This session is designed for professionals seeking to leverage the latest advancements in visual AI technology to enhance their workflows and drive impactful results. In this interactive lab, you'll explore LandingLens's newest capabilities, including advanced model training, enhanced dat...
Improving EV Battery Inspection Using Advanced Imaging & AI
Просмотров 3453 месяца назад
The growing market for electric vehicles is driving demand for different battery technologies. While each battery is designed to meet the specific needs of an application, all batteries must be lightweight and compact, have a long life both in use and in storage, and deliver a relatively consistent voltage during operation. While these goals can be achieved in numerous ways using different batt...
Vision Agent: Agentic Program Generation for Vision Tasks
Просмотров 9044 месяца назад
In this video we show our latest version of Vision Agent that can generate python programs to solve vision tasks. This allows the you to re-run the program many times again without ever having to make expensive and slow calls to LLMs or vision-LLMs to do repetitive tasks. We also show an example use case where Vision Agent generates a program to locate when surfers are close to sharks. Join Ou...
Snowflake and LandingAI Collaborate to Make Complex Diagnoses Easy
Просмотров 7704 месяца назад
When great partners come together, magic happens! ⚡ ️ Snowflake and LandingAI are collaborating to make complex medical diagnoses easy. In this video, Jeff Hollan, Director of Product at Snowflake, shows us how to go from images to interactive data (powered by natural language) in a few simple steps. Through the Snowflake and Landing AI partnership, Snowflake users can leverage the computer vis...
Leveraging Large Vision Models for Life Sciences (from R&D through Commercialization)
Просмотров 2584 месяца назад
Step into the world of medical devices and pharmaceutical technology, where upholding safety, efficacy, and quality standards is non-negotiable. Discover how AI-driven computer vision revolutionizes inspection and defect detection in manufacturing, ensuring unparalleled reliability. Delve into the transformative potential of AI for the medical devices and pharmaceutical industries. Join Erik Tr...
Transform video data into JSON with Vision Agent
Просмотров 6694 месяца назад
In this video, We demonstrate how to use a vision agent to analyze a video and identify if a child is dangerously close to a pool. We explain the process of extracting frames, running a grounding model, using OCR to get timestamps, and calculating the distance between the child and the pool. The goal is to transform a video which is unstructured data to a JSON which is structured data. We also ...
Computer Vision Workshop: MLOps Best Practice
Просмотров 4724 месяца назад
View this webinar hosted by Erica Gilbert, Custom Success Engineer at Landing AI. Erica walks you through how to ensure your computer vision model is ready for deployment. She shows you how to use key features from LandingLens to power your process! You'll learn how to use label agreement to determine SME accuracy, perform custom model training, and use model comparison tools for consistency in...
Download Models and More! Pricing & Feature Updates, May 2024
Просмотров 2204 месяца назад
Learn about the new features in LandingLens, the computer vision platform from Landing AI. Updates include: - All users can use LandingEdge and Docker deployment, no license required! - All users can DOWNLOAD MODELS (yes, this means you can access the ONNX file) - The number of credits used by Custom Training is now tied to the actual training settings Want to share your use case or have questi...
Run Vision Agent with your tools
Просмотров 7484 месяца назад
In this video, we demonstrate how to use vision-agent to find the most prominent item in a visual scene and then count it, specifically in a retail setting. We show how we created a custom tool called “Store Item Deduction” and explain its usage. We also discuss the planning, execution and explanation of certain parameters in vision agent. We run the end to end demo on two images and discuss th...
Processing Baby Cam Recording with Vision Agent
Просмотров 3065 месяцев назад
In this video, I’ll show you how I leveraged the Vision Agent library to find out where my daughter sleeps-whether it's in her crib or on the main bed, and walk you through what happened in a vision agent execution. Join Our Community 🤖 Interested in vision agent technology? Join our Discord community to share ideas, get support, and collaborate on the vision agent library. Whether you're a se...
Improving Semiconductor Defect Detection & Classification Using Large Vision Models (LVMs)
Просмотров 1,2 тыс.5 месяцев назад
Semiconductor and MEMS manufacturers around the world are maximizing their yield and reducing expenses through the use of AI. These manufacturers empower advanced technologies and elevate everyday experiences. Watch this recorded webinar to learn how Domain-Specific Large Vision Models (LVMs) can provide a step function increase in the time to value and wafer inspection accuracy. Hear from Land...
Accelerate AI Deployment with Domain-Specific Large Models (LVMs) in Energy & Utilities
Просмотров 3175 месяцев назад
Computer vision is widely used in the Energy and Utilities sector such as Asset Inspection, Condition Monitoring, Predictive Maintenance, Load Monitoring & Optimization, Infrastructure Planning, and Vegetation Management. Discover how you can accelerate AI deployment in Energy and Utilities with Domain-Specific Large Vision Model with Marco Fernandez, Director of Engineering at Capgemini, and C...
Developing and Deploying Computer Vision Applications
Просмотров 4215 месяцев назад
Join our Technical Deep-Dive Office Hours to acquire the skills to develop and deploy custom computer vision applications effectively for specific projects and different enterprise and industry use cases.
The Landing AI Machine Learning Engineering Team Discusses “Agent Frameworks”
Просмотров 3646 месяцев назад
The Landing AI Machine Learning Engineering Team Discusses “Agent Frameworks”
Office Hours
Просмотров 996 месяцев назад
Office Hours
Manage Data Augmentations
Просмотров 936 месяцев назад
Manage Data Augmentations
How to Use Deep Learning Based OCR
Просмотров 7526 месяцев назад
How to Use Deep Learning Based OCR
What are Large Multimodal Models?
Просмотров 4636 месяцев назад
What are Large Multimodal Models?
Manage Data Transforms: Rescale, Resize, & Crop
Просмотров 1036 месяцев назад
Manage Data Transforms: Rescale, Resize, & Crop
Run Parallel Training in Custom Training
Просмотров 1077 месяцев назад
Run Parallel Training in Custom Training
Landing AI Office Hours: Feb. 21, 2024
Просмотров 1507 месяцев назад
Landing AI Office Hours: Feb. 21, 2024
Technical Deep Dive - Integrating Computer Vision into your Applications
Просмотров 5087 месяцев назад
Technical Deep Dive - Integrating Computer Vision into your Applications
The Future of Inspection: How AI and Large Vision Models Advance Industry Inspections
Просмотров 9777 месяцев назад
The Future of Inspection: How AI and Large Vision Models Advance Industry Inspections
What's New in Feb. 2024
Просмотров 687 месяцев назад
What's New in Feb. 2024
Compare Model Performance
Просмотров 3008 месяцев назад
Compare Model Performance
Landing AI Office Hours: Jan. 24, 2024
Просмотров 1488 месяцев назад
Landing AI Office Hours: Jan. 24, 2024
Refer to Heat Maps for Classification Models
Просмотров 3028 месяцев назад
Refer to Heat Maps for Classification Models
Domain Specific LVMs Training Session
Просмотров 1,9 тыс.8 месяцев назад
Domain Specific LVMs Training Session

Комментарии

  • @mahdiabbasinourabadi8554
    @mahdiabbasinourabadi8554 18 дней назад

  • @raizenway49
    @raizenway49 Месяц назад

    nice cat

  • @CanonballKryptoTheKryptonautsI
    @CanonballKryptoTheKryptonautsI Месяц назад

    TY 4 Vid

  • @fintech1378
    @fintech1378 3 месяца назад

    can we do web browsing using vision agent

  • @caiosouza541
    @caiosouza541 4 месяца назад

    Cool ! Will gonna try :)

  • @cagdasucar3932
    @cagdasucar3932 4 месяца назад

    why generate a program? should this not work like calling gpt in a loop like other agent frameworks?

    • @dw61w
      @dw61w 3 месяца назад

      like autoGPT? I think they're calling GPT in a loop based on the number of GET requests to openai. But they're saying outputting python is cheaper because you don't need to call openai api when you run the program on another video later

  • @tahirafzal4326
    @tahirafzal4326 4 месяца назад

    I Participated in the seminar, I must say, i am really impressed by the way the seminar was structured. I had a lot of questions that were answered effectively. Thanks Adrian for inviting me.

  • @DhirajPatra
    @DhirajPatra 4 месяца назад

    Nice thank you

  • @Alice8000
    @Alice8000 5 месяцев назад

    LOL did you notice the file he had in his folder? ☠

  • @Alice8000
    @Alice8000 5 месяцев назад

    Ng i love you. use a teleprompter for best video presenter to audience connection.

  • @Alice8000
    @Alice8000 5 месяцев назад

    Love this guy Ng

  • @ninatko
    @ninatko 6 месяцев назад

    Hi, I worked on OCR project back in 2020, and the most common tool used back than, as per my knowledge, was Tesseract OCR. It was very brittle with regard to language and fonts and a lot of heuristic preprocessing was need. But my use case was a few shot, no training was applied. I just wonder where the field is today, are the tools much better now?

    • @CamiloLandingAI
      @CamiloLandingAI 6 месяцев назад

      Hi, @ninatko. The field has advanced a lot with deep learning based approaches. I have also used Tesseract in the past, and it's true that these classic approaches seem to be very brittle. However, I know that Tesseract added a LSTM deep learning base model since version 4. Some advantages of the newer deep learning approaches, like the one we offer at Landing AI is the ability to locate the position of the different texts in the image, as well as making them more robust under different conditions. However, sometimes you will still need some heuristic preprocessing, depending on your data. Hope that helps.

    • @ninatko
      @ninatko 6 месяцев назад

      @@CamiloLandingAI Thank you for the reply! Interesting that they use LSTM, would not a transformer do a better job, are LSTMs better for characters in contrast to subwords/tokens? OCR is based on characters and not tokens as the modern language models are, right?

  • @LuthfiNurAmalia
    @LuthfiNurAmalia 7 месяцев назад

    Thank you for raising this topic. It is super insightful. As I am currently doing research regarding AI for inspection, is it possible to have further discussion with Landing AI team? Thank you

  • @on-chain.nation
    @on-chain.nation 7 месяцев назад

    Very interested in this... can I make a suggestion. Turn off monetization to eliminate advertisements while watching.

  • @张航-n8l
    @张航-n8l 7 месяцев назад

    very informative

  • @marineboy305
    @marineboy305 9 месяцев назад

    Could you share the source of the original work on the domain specific LVM illustrated at 1:31?

  • @JeanTourdes
    @JeanTourdes 9 месяцев назад

    Hi, do you plan on showing how to do labelization from an external front end ? I'm wondering how I could implement this functionnality from another frontend, and send back the data to landingAI

  • @DominikLausch
    @DominikLausch 9 месяцев назад

    Excellent marketing :-D What is the advantage over a very specific model that has been trained with 10-30 examples? The accuracy is much higher, the effort is much lower (about 20 min) and the model is much easier to control and change. Also, as you correctly said, industry examples are very specific and the cases are often very defined.

  • @GanitacheGuruji
    @GanitacheGuruji 9 месяцев назад

    I am a teacher help me to teach my student

  • @lozamoto
    @lozamoto 9 месяцев назад

    🎉 Saludos desde Valledupar Colombia.

  • @ihorrible
    @ihorrible 9 месяцев назад

    Give please the examples of large vision models ?

  • @Sayied-s7d
    @Sayied-s7d 9 месяцев назад

    What's that semi conductor thing

  • @TheMrWARLORD
    @TheMrWARLORD 10 месяцев назад

    Great info, thanks alot!!!

  • @IshikaHere
    @IshikaHere 10 месяцев назад

    This person is an idol to me ❤

    • @lukeskywalker7029
      @lukeskywalker7029 9 месяцев назад

      Same. However is video feels like its generated :D Is it @LandingAI?

    • @IshikaHere
      @IshikaHere 9 месяцев назад

      @@lukeskywalker7029 yes

  • @booooompower
    @booooompower 10 месяцев назад

    Man. I was thinking about starting modular aquaponic systems for urban households. Would like to provide fishsafety as a service. And maybe also connect it to thermalimages. Very informative hopefully they will be available in the cloud soon. X) 🐙🙂😅🆒🆗😁

  • @deveshbhatt4063
    @deveshbhatt4063 10 месяцев назад

    Insightful💡

  • @williamwei3003
    @williamwei3003 10 месяцев назад

    Awesome presentation, Thanks, Dr. Ng.

  • @abdulqadar9580
    @abdulqadar9580 10 месяцев назад

    😍😍😍

  • @you4joy
    @you4joy 10 месяцев назад

    Nicely explained !!

  • @BladeBoques
    @BladeBoques 10 месяцев назад

    Nice job Andrew! I've worked with Eddy Shyu as an alpha tester of your prompt engineering course, and have been going through several of your courses for almost a year now. Looks like you innovated again! Great work!

  • @heerthirajah1661
    @heerthirajah1661 11 месяцев назад

    Hey Team, Yesterday there was a session with Andrew NG on your platform. I missed it. As a beginner CV developer, I eagerly waited for that. But unfortunately I can't attend bcoz of the client meeting. Can you guys, please share the recordings on utube please. Thanks in advance, Team.

  • @XiaoZhao-d4j
    @XiaoZhao-d4j 11 месяцев назад

    awesome!!

  • @icemanlifestyle
    @icemanlifestyle 11 месяцев назад

    Our future can't exist without ai.

  • @AssefaWahd
    @AssefaWahd Год назад

    Is there a reference paper for this tool or a similar one? Thank you.

  • @ZachMatu
    @ZachMatu Год назад

    Great stuff

  • @gusmein5144
    @gusmein5144 Год назад

    In case I want to count the bacteria colonies in petri disc. Can it work using landing ai?

    • @landingai
      @landingai Год назад

      Hi @gusmein5144 - You can convert the Visual Prompting masks to COCO format to get the bounding box count. However, this might get tricky if the bacteria colonies are side by side or overlapping. We'd be happy to help you with your use case. If you'd like to chat with us or if you have any additional questions, feel free to create a post in our "Ask the Community" forum in the Landing AI community: community.landing.ai/c/ask-the-community/.

  • @gusmein5144
    @gusmein5144 Год назад

    Very useful idea Sir. Is it possible to "after labeling and then counting the amount of colonies in the image using visual prompt? Please make a video counting object after labeling images using visual prompt. Thanks Sir.

  • @HmzaY
    @HmzaY Год назад

    Can you make a sample video for python?

  • @linjames1217
    @linjames1217 Год назад

    nice tool

  • @Jaun_
    @Jaun_ Год назад

    Super - Looking forward to some exploration of LandingLens.

  • @deepaklenka1055
    @deepaklenka1055 Год назад

    I try this project but it didn't work.

    • @landingai
      @landingai Год назад

      Hi! I'm sorry to hear the project wasn't working for you. Instead of cloning the repo, try referencing the collab notebook here: colab.research.google.com/github/landing-ai/landingai-python/blob/main/examples/webcam-collab-notebook/webcam-collab-notebook.ipynb#scrollTo=98KX-kH9ZdKs

  • @gustavomonge1785
    @gustavomonge1785 Год назад

    Great news!! 🎉

  • @حواءلكلالاسرةمنوعاتوطرائفمنكلم

    تكنولوجيا حديثة جدا 👍💕💕💕💕

  • @Z9.p
    @Z9.p Год назад

    This thing looks interesting

  • @ernieobrien7733
    @ernieobrien7733 Год назад

    'PromoSM' 🎶

  • @maverick456-33
    @maverick456-33 Год назад

    I want to know why you never uses high quality videos even in his lecture courses

  • @ZachMatu
    @ZachMatu Год назад

    Thanks for this

    • @landingai
      @landingai Год назад

      You're welcome, Zachary!

  • @nikhilranka9660
    @nikhilranka9660 Год назад

    Thanks for the concise demo.