Software Alternatives, Accelerators & Startups

Immerse Reverse Image Search VS Amazon Rekognition

Compare Immerse Reverse Image Search VS Amazon Rekognition and see what are their differences

Immerse Reverse Image Search logo Immerse Reverse Image Search

With a deep understanding of artificial intelligence, immerse.zone provides a reverse image search engine for hundreds of millions of image libraries, including stock photos, vectors, videos, GIF, etc.

Amazon Rekognition logo Amazon Rekognition

Add Amazon's advanced image analysis to your applications.
  • Immerse Reverse Image Search Landing page
    Landing page //
    2022-05-16
  • Amazon Rekognition Landing page
    Landing page //
    2023-04-18

Immerse Reverse Image Search videos

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Amazon Rekognition videos

AWS Rekognition Tutorial | Image Recognition using AWS | Amazon Rekognition | AWS Training | Edureka

More videos:

  • Review - Extract Data from Images and Videos with Amazon Rekognition (Level 300)
  • Demo - Can Amazon's Facial Recognition identify my 15 years younger picture? | Amazon Rekognition Demo

Category Popularity

0-100% (relative to Immerse Reverse Image Search and Amazon Rekognition)
OCR
15 15%
85% 85
Image Analysis
0 0%
100% 100
Image Processing
100 100%
0% 0
Machine Learning
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Immerse Reverse Image Search and Amazon Rekognition

Immerse Reverse Image Search Reviews

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Amazon Rekognition Reviews

2019 Examples to Compare OCR Services: Amazon Textract/Rekognition vs Google Vision vs Microsoft Cognitive Services
Pricing: Amazon Rekognition, Amazon Textract, Google, Microsoft. We don't really care which one you use, but Microsoft did best by our sample data. Textract was a very close second if you only need its headline feature: extracting text from digital documents. If someone wants to email bill -at- amplenote.com with comparable data for other images/services, I can try to...

Social recommendations and mentions

Based on our record, Amazon Rekognition seems to be a lot more popular than Immerse Reverse Image Search. While we know about 33 links to Amazon Rekognition, we've tracked only 2 mentions of Immerse Reverse Image Search. 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.

Immerse Reverse Image Search mentions (2)

  • This is PicFinder.ai .2
    I like to build my prompt from ground up, and I mean sentence by sentence, style, movement and I am not a fan of using an artist's name in a prompt so I rarely use them in my arts unless I am experimenting.... So to keep this short, I have done some prompting on picFinder, and downloaded these upscaled images with a ratio of 16:9 which is now a possible option to choose. Judge for yourself, and mind you I haven't... Source: about 1 year ago
  • Just found a great free tool to do reverse image searches called immerse.zone.
    I often search for similar images on the internet, so I've found this one tool recently called immerse.zone. Source: about 2 years ago

Amazon Rekognition mentions (33)

  • Afraid of outgrowing AWS Rekognition? Try YOLO in Lambda.
    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 / about 2 months ago
  • Amazon Rekognition Custom Labels for Bears
    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 / 10 months ago
  • “During a gold rush, sell shovels.” What are the shovels in the AI rush?
    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: 10 months ago
  • Serverless Facial Recognition Voting Application Using AWS Services
    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
  • Amazon Prime Video playback features
    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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What are some alternatives?

When comparing Immerse Reverse Image Search and Amazon Rekognition, you can also consider the following products

AI Reverse Image Search - A better way to find similar images

Clarifai - The World's AI

Popsync - Find that perfect picture faster with image metasearch

Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.

DDMM - Search images from all sources at once with generative AI

Kairos - Facial recognition & mood detection API