We built an advanced brand tracker so we could help solve the brand puzzle. More and more brands taking a bigger turn towards brand marketing over performance marketing. Marketplaces are becoming oversaturated and it's becoming harder to become noticed by your target audience. And it is also becoming really, really expensive. This is not a sustainable means of growth. But brand marketing is.
Brands know that if they achieve a high level of brand awareness, it will accelerate into sales further along the line. Most importantly, these brands are aware that an investment into brand awareness is an investment into the long-term growth of their business. But they don't know if this investment is making an impact, or if they would get the same results simply burning their money.
That's why we have developed brand analytics. Brand analytics is for brand managers what Google Analytics is for digital marketers. It provides them with an intuitive dashboard where they can see exactly their level of brand performance with target audiences, campaign impact, and how they fare against their competitors. These accurate insights can be used be brand managers to tailor their marketing for their audiences and improve brand performance - leading to growth and sales. Perfect!
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Based on our record, ML5.js should be more popular than Latana. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The company that provided the data for the report is not actually a polling organization. It is a marketing firm whose competency appears to be conducting brand awareness studies. Source: about 3 years ago
Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 1 year ago
See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 2 years ago
I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: about 2 years ago
Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / over 2 years ago
From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js! Source: over 2 years ago
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