I often use the Hunter Google Chrome extension to assist me in discovering the contact details of new outreach targets. The only drawback is that I quite often exceed my free monthly allowance of lead requests.
Based on our record, Hunter should be more popular than Amazon Rekognition. It has been mentiond 150 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.
We CAN get to over a million and start getting into the main stream news as I have connections and can use hunter.io, press release etc. Source: 8 months ago
Use hunter.io and reach out to business CEOs in my area (Denver) and see if I could work for them. Source: 11 months ago
Definitely speak to recruiters (Private Equity Recruiting is the top option in Europe, IMO), but the best way to do it is to use a tool like hunter.io to find the email addresses of general partners at top firms, and (I can't stress this enough) send them qualified dealflow with your high-level analysis (I'll also add more detail below). Source: about 1 year ago
What's an effective way of finding certain employees that work in a company. Like there contact info I know hunter.io but I need something better. Any input would be appreciated. Source: about 1 year ago
I need a free tool that I can use to send emails, follow-ups & track my companies, I was happy with Hunter.io but they Banned my account for NO reason. Source: about 1 year ago
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
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