Andrew Ng, a prominent figure in the AI community and the co-founder of Coursera, announced a major launch from his company, Landing AI, last week.
Landing AI’s ‘cutting-edge software platform makes computer vision easy for a wide range of applications across all industries’. The product is called LandingLens and it allows anyone to train computer vision models fast for a wide variety of purposes.
1/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 https://t.co/802tOScsqH pic.twitter.com/LpWzISV0k9
— Andrew Ng (@AndrewYNg) February 22, 2023
What is Landing AI?
The company shares more about their founding story on their about page:
Landing AI™ is pioneering the Data-Centric AI movement in which companies with limited data sets can realize the business value of AI and move AI projects from proof-of-concept to full-scale production. LandingLens™, Landing AI’s flagship product, makes computer vision easy for everyone. Founded by Andrew Ng, co-founder of Coursera, former chief scientist of Baidu, and founding lead of Google Brain, Landing AI is uniquely positioned to lead the development of AI from a technology that benefits a few to a technology that benefits all.
What is Computer Vision?
Computer vision is an area of study that focuses on enabling computers to analyze and understand digital images and videos. It involves the use of algorithms and mathematical models to extract meaningful information from visual data, such as object recognition, scene reconstruction, image segmentation, and motion analysis.
With Landing AI, the goal is to make computer vision accessible to way more people. According to Andrew Ng, ‘We’re on a mission to democratize access to AI creation, so everyone can easily train and deploy custom ML models on their own data. Every business and every person now has their own data, so using only models that someone else had trained on their data is not good enough.’
The goal of computer vision is to replicate and enhance the human visual system’s ability to perceive and comprehend the world around us, using digital sensors, cameras, and other imaging devices.
Examples of LandingLens Use Cases
There are so many fascinating ways to use LandingLens in both commercial and non-commercial applications. Here are some examples from Landing AI’s website:
- Detect Suits in Playing Cards
- Inspect Food for Foreign Objects
- Detect Defects on Screws
- Count Cell Colonies
- Spot Wind Turbines
- Detect Wildfires
- Identify Cattle
- Track Pools from Satellite Images
- Detect Vehicles
As you can probably see, the possibilities are endless, and technology like LandingLens is going to change the world. It will also have dramatic implications in terms of security and surveillance. We’ve covered apps like Anonymous Camera in the past that capture anonymous photo/video in real time. Will similar apps be more prevalent in the future due to the innovation of AI detection tools? Leave your thoughts below.
Not to mention, computer vision will have a major impact on the stock photography industries and digital imaging industries too.
Watch the full video below to learn more about this interesting new computer vision launch from Landing AI.