HypeAuditor empowers brands and agencies to run seamless influencer marketing campaigns for Instagram, TikTok, YouTube, Twitter, and Twitch, from recruiting influencers and reviewing content to managing payments, budgets, and product seeding. E-commerce stores on Shopify, Magento, and WooCommerce can integrate with HypeAuditor, create affiliate links, and distribute promo codes. Powered by trustworthy data and AI, HypeAuditor is the ultimate all-in-one influencer marketing platform.
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Based on our record, Amazon Rekognition should be more popular than HypeAuditor. It has been mentiond 33 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.
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / 3 months ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 12 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 12 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: over 1 year ago
Https://hypeauditor.com › youtube › UCswH8ovgUp5Bdg-0_JTYFNw Russell Brand's YouTube Stats and Analytics - HypeAuditor Russell Brand's number of subscribers is 6.4M with 156.5K new subscribers in the last 30 days. The most recent video on the Russell Brand channel was uploaded 4 days ago days ago. The average number of views per Russell Brand's YouTube video is 444.4K, while the highest number of views is 4.1M. Source: about 1 year ago
If that is outside your budget, you can use https://hypeauditor.com/ to do some influencer discovery in your given niche. Source: over 1 year ago
Hey guys!I am just wondering which API does Hypeauditor use? Source: about 3 years ago
I am a bit puzzled by your post. I looked into hypeauditor.com and I found out that the audience on her instagram account (1.5M followers) is 66% women across all age ranges and 67% across women between 18 to 34. On her tiktok account (800k followers), it is 57% women but it is less relevant in a way as the audience is more predominantly in the 13-17 age bracket. Source: about 3 years ago
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