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VisitWebsite builders to check out
1. Elementor (WP) - elementor.com
2. Designmodo - designmodo.com
3. Landing pages - landing-ai.com
4. Squarespace - squarespace.com
5. Tutoriac - tutoriac.com
6. Webflow - webflow.com
Landing AI
What is Landing AI ?
Landing AI specializes in pioneering the Data-Centric AI movement, allowing companies with limited data sets to leverage AI and transition AI projects from proof-of-concept to full-scale production. Their flagship product, LandingLens, simplifies computer vision for a wide range of users.
Features :
- Data-Centric AI approach.
- Computer vision made easy with LandingLens.
- Domain-Specific Large Vision Models (LVMs).
- Integration capabilities with various software solutions.
- Support for various industries including automotive, electronics, manufacturing, and more.
Pricing :
- Free: $0/mo - Ideal for hobbyists starting out, up to 5 projects, 250 images per project, image labeling, and more.
- Starter: Specifics not provided - Suitable for individuals to start and scale projects.
- Visionary: Specifics not provided - Best for small teams and businesses.
- Enterprise: Custom pricing - Tailored for large-scale business needs.
Estimated Visit Traffic :
51.47K /MonthUser Distribution :
United States - 29.29% | India - 13.88% | Hong Kong - 7.58% | Germany - 6.29% | United Kingdom - 4.87%Tags :
AI Image RecognitionShare to : 
Building a Cat Detector with LandingLens
Curious about how to harness the power of AI to recognize your fluffy friends? Join Wits, the product manager of LandingLens, as he explains step-by-step how to create a cat detector with the help of your feline companion and some smart technology.
1. Naming Your Project and Gathering Data
Let's kick things off by naming our brand new project in LandingLens. This name will help us keep track of our progress as we create our cat-detecting masterpiece.,Next up, we need to gather some images to train our AI model. Start by snapping some shots of the area without your cat present. These images will serve as a baseline for our detector.,Now the fun part: asking your cat to become a temporary model. Capture your pet in various poses and locations to ensure the AI has a good understanding of what to look for.
2. The Art of Labeling
After compiling our image collection, it's time for some labeling. This step helps the AI understand what a cat looks like and where it can be found in the pictures.,Creating a label for 'cats' sets the stage for what we'll be detecting. With this target class in place, we then draw squares around our furry friends in each photo.,Persevere through the labeling process until you've tagged all instances of your cat in the images. Make sure not to tag the cat-free photos, as this teaches the detector what not to look for.
3. Training and Testing the Model
With our data labeled, it's training time. By clicking 'train,' LandingLens will whisk your images off to the cloud, where the magic happens. As your model learns, you'll witness an error curve that ideally decreases over time.,Patience is a virtue - after a few minutes, the trained model emerges, eager to showcase its skills. If all has gone well, your AI detector should be able to spot Kunu in the images you've provided.,The real test comes when running the model live. Upload fresh images of your cat and watch as the model confirms sightings with impressive confidence ratings.
4. Exploring Tutorial Resources
LandingLens enthusiasts have shown interest in educational content, such as sample videos for Python that walk through the creation of a cat detector.,There's curiosity about whether the model parameters can be downloaded for closer inspection or further tinkering, showcasing a desire for deeper engagement with the tool.,High-quality tutorials are appreciated by the community, as evidenced by gratitude for LandingLens's straightforward instructions and the recognition of a well-captured video featuring a handsome cat.
5. Debating Technological Relevance
There's a healthy debate about LandingLens's relevance, given the capabilities of advanced technologies like OpenAI's CLIP, which can identify images without bespoke training.,Some users ponder if such models have rendered personalized training efforts obsolete, igniting discussions about the purpose and value of these tools.,Despite these musings, LandingLens remains a valuable educational platform, offering hands-on experience and clear guidance for those eager to experiment with AI and machine learning.
6. Landing AI Video Summary
This article delves into the user-friendly world of LandingLens, where even newcomers to AI can build a model to detect cats. With simple steps such as capturing images, labeling data, and training the model, users can quickly achieve a functional cat detector. The process is made even more engaging through a live demonstration with a charming cat named Kunu. Despite competing technologies like OpenAI's CLIP, the hands-on approach of LandingLens provides an instructive and rewarding experience for aspiring AI enthusiasts.
User Reviews On Twitter
Mbaziira RonaldSoftware Developer | Technical Writer Technical Writing · Tailwind CSS · Web Development 📩 DM for Collaboration
Andrew NgCo-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs1/Landing AI is releasing our computer vision tool for anyone to use! You can label images, train a model, and deploy your model to production in minutes. Our data-centric tool then helps you improve your model quickly. Start for free at landing.ai
Thuy Nguyen ThanhFPT, Landing AI team up to train Vietnam’s AI workforce www.techinasia.com/fpt-landing-ai-team-up-to-train-vietnams-ai-workforce- Andrew NgCo-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCsJoin me for a livestream, ”Building Computer Vision Applications," on Monday, Nov 6, hosted by Landing AI! Please register here: landing.ai/building-computer-vision-applications/
I’ll discuss the practical aspects of building a vision application, including how to
(i) Identify and scope a vision…
те(три)с 👾the place to discover your next favorite thing. emoji spirit of @angelList✌️text the 🐈 (415) 481-3148📱Landing AI ift.tt/oqSsMve
uOgeeLanding AI’s computer vision platform is now available to anyone who wants to try it for free!
You can read more about it here: landing.ai/news/landing-ai-democratizes-the-creation-of-ai/
#ComputerVision #DataCentricAI #AI #deeplearning- Andrew NgCo-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs1/2 Visual Prompting takes ideas from text prompting, which has transformed NLP, to computer vision. Via a simple "visual prompt", you can build a vision model in seconds. Try it out here: app.landing.ai/public/visual_prompting
AnthoVDOSelf-taught developer 💻 Building https://t.co/cpR2jhZAba, which will help freelances, subcos, and consultants to manage their times.If you need to create a quick landing page, have a look at this! 😄
Landing AI: Make beautiful websites in seconds with AI www.producthunt.com/posts/landing-ai by @marc_louvion and @martindonadieu
FilterGradeDigital products from your favorite creators. Find incredible Presets, LUTs, Social Media Templates, Video Templates, & more. See what's new: https://t.co/34yMUE6TRSLanding AI Releases Computer Vision Tool for Anyone to Use filtergrade.com/landing-ai-releases-computer-vision-tool-for-anyone-to-use/
Microsoft AzureLimitless innovation. ☁️ Follow along for the latest news and resources from the official #MicrosoftAzure team. For help, contact @AzureSupport.Are you maximizing the value of your data?
Uncover deeper insights using advanced analytics, machine learning, and business intelligence: msft.it/6017ggOvB
What users think about Landing AI - from Twitter
- "Landing AI provides a computer vision platform that allows users to label images, train models, and deploy them to production quickly."
- "The platform is accessible for anyone to use for free, endorsing its data-centric tools that help improve models swiftly."
- "Landing AI is engaged in efforts to train Vietnam's AI workforce in collaboration with FPT."
- "Founder Andrew Ng is actively involved in educating users about building computer vision applications through livestream events."
- "The company is innovating with 'Visual Prompting', a feature that allows for the creation of vision models in seconds through a simple visual interface."
- "Landing AI's offerings also include a tool that enables users to create beautiful websites quickly with AI, aimed at non-technical users."
- "Overall, Landing AI is positioned as an accessible and user-friendly tool for both computer vision and rapid website creation, promoting its services through community engagement and partnerships."
Landing AI Pros and Cons
Pros :
- Pioneers in Data-Centric AI.
- Ease of use with LandingLens.
- Wide range of applications across industries.
Cons :
- Specific details on pricing for Starter and Visionary plans not provided.
- May require technical expertise for optimal use.
Landing AI FQA
1. Can I integrate LandingLens with my existing software?
Yes, LandingLens offers seamless integration capabilities with various software solutions.
2. Is there any support available during the trial period?
Yes, dedicated support is provided for all users during their trial period.
3. What happens after my free trial ends?
Users can upgrade to a paid subscription or continue using a free limited-feature version of LandingLens.
Landing AI Use Cases
- Enhance Shelf Share Calculation in Retail Stores.
- Automatic Defect Classification in Wafer Fabrication.
- Various applications across industries like automotive, agriculture, electronics, etc.
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