Software Alternatives & Reviews

DBGallery VS Amazon Rekognition

Compare DBGallery VS Amazon Rekognition and see what are their differences

DBGallery logo DBGallery

DBGallery is a digital asset management cloud service (SaaS) and on-prem web-server software package for a range of team sizes.

Amazon Rekognition logo Amazon Rekognition

Add Amazon's advanced image analysis to your applications.
  • DBGallery Landing page
    Landing page //
    2022-05-25

DBGallery, an abbreviation of Database Gallery, allows you to centrally store, manage, catalogue, archive and securely share your image, video, and document files. Keep track of different versions and detect duplicates. Its search capabilities make files easy to find and an intuitive modern interface makes it easy to use. Workflow and other team features provide a collaborative environment for those inside and outside an organization.

  • Amazon Rekognition Landing page
    Landing page //
    2023-04-18

DBGallery

$ Details
paid Free Trial $198.0 / Monthly (Paid plans start with 5 users and 250GB of storage.)
Platforms
Web REST API Browser

DBGallery features and specs

  • Version Control: Yes
  • Team Collaboration: Yes
  • Image management: Yes
  • Activity history: Yes
  • Rest API Integration: Yes
  • Custom Data Fields: Yes
  • Workflow Management: Yes
  • White Labeling: Yes
  • Data Import/Export: Yes
  • Self-Registration: Yes
  • Video Streaming: Yes
  • User Permission Management: Yes
  • Object Recognition: Yes
  • Your own domain: Yes

Amazon Rekognition features and specs

No features have been listed yet.

DBGallery videos

DBGallery Benefits Overview

More videos:

  • Review - Four Stages of Opening Access to DBGallery

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 DBGallery and Amazon Rekognition)
Digital Asset Management
100 100%
0% 0
Image Analysis
0 0%
100% 100
Brand Management
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 DBGallery and Amazon Rekognition

DBGallery Reviews

  1. Easy to use app for files organization. Great opportunities for users management.
    👍 Pros:    Fast support|Folder and collection structure|Multi user product
  2. Powerful easy-to-use file management app with file sharing options and email notifications.

    👍 Pros:    Folder and collection structure|User management|Versions control

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 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.

DBGallery mentions (0)

We have not tracked any mentions of DBGallery yet. Tracking of DBGallery recommendations started around Mar 2021.

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 1 month 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 / 9 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 / 12 months 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 DBGallery and Amazon Rekognition, you can also consider the following products

Widen - Digital asset management (DAM) & content production

Clarifai - The World's AI

Bynder - Bynder is a cloud-based digital asset management solution for marketing professionals looking to simplify how they manage digital content via one central portal.

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

FastRawViewer - We needed it. We made it. We share it.

OpenCV - OpenCV is the world's biggest computer vision library