Amazon Rekognition
Kairos
Google Vision AI
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OpenCV
Microsoft Computer Vision API
Trueface Visionbox
Social Mapper
Leadfeeder
Visitor Queue
Clearbit
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Lead Forensics
Lusha
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Only around 2% of website visitors leave their contact details
Sales and marketing teams still operate in their own silos instead of being aligned. Digital marketers drive people to their website and try to get them convert into contacts. Meanwhile, sales teams are cold-contacting people who've never heard of them. This is costing companies billions. By handing marketing insights to salespeople our customers are spending less time cold calling and more time making profit on leads right under their noses.
Leadfeeder shows you the companies visiting your website, how they found you and what they`re interested in.
Amazon Rekognition LeadfeederBased on our record, Amazon Rekognition seems to be more popular. 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 / 11 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
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