With Microsoft’s OneDrive, Dropbox and Apple’s iCloud you can store and share photos. We are like that, but we specialize in image hosting for eCommerce.
We offer speed optimizations tailored for image hosting, absent from traditional cloud drives:
Lossless optimization reduces the file size of images with 21% on average
Lossy optimization reduces the file size of images with 48% on average
Images are delivered in the 34% smaller WEPB format if supported by the browser
We’re serious about caching your images closer to your buyers, unmatched by traditional cloud drives and server space hosts:
Hundreds of data centers across the world cache your images – for quick access
We also cache unpopular images in our data center caches. Unique.
We use 2 market leader CDNs for our image delivery. Unique.
We prevent outages with our AI firewall system that detects and neutralizes cyberattacks. We can handle a huge amount of image traffic. We offer static image urls.
You shouldn’t be a IT geek to understand how it works.
We’ve designed the dashboard to let you manage your images in a very similar way to how you manage files in your Google Drive, Microsoft’s OneDrive and Dropbox, you PC or Mac. You can create folders and place your images inside.
You can import your images from other cloud services ie. Dropbox and OneDrive.
You can upload hundreds of images in one go, we built the uploader to have a low memory print on your device. You can also browse through thousands of images in your drive. Opening a website page that instantly loads ten thousand 4k images would crash your device. However, our dashboard intelligently only loads the images you scroll to, meaning your device only has in memory what is shown to you on the screen.
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Img.vision's answer
Small to medium sized businesses selling products online ie. eCommerce sellers.
Img.vision's answer
We make it easy to manage your images with our unique dashboard. You shouldn’t be a IT geek to understand how it works. There is no setup cost and no training needed. It's also designed to handle tens of thousands of images.
Img.vision's answer
We are like a Google Drive, but specialized in Image Hosting. This is a unique approach. We have image loading speed optimizations tailored for image hosting, absent from traditional cloud drives and server space hosts: We also cache unpopular images in our data center caches. This is Unique. We employ 2 market leader CDNs for our image delivery. We also offer Static image urls. This is also Unique.
Img.vision's answer
In 2016 I decided to work on my IT skills by setting up a an image hosting website. I had no previous experience as entrepreneur or setting up a successful business.
Since I’m no programmer, I searched for and worked with several freelance programmers. In December 2016 we succeeded and the first version was live.
Over the years I continued to learn, build and push out better versions of Img.vision.
By 2021 I had seen that there was a real need for an image hosting service for small to medium businesses looking for simplicity, ease an affordability.
Today Img.vision is a successful business with hundreds of customers and a great app. The team behind Img.vision continues to focus on learning and pushing out improved versions of Img.vision based on those learnings.
Based 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: 11 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: about 1 year ago
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