Software Alternatives, Accelerators & Startups

DBGallery VS OpenCV

Compare DBGallery VS OpenCV 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.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • 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.

  • OpenCV Landing page
    Landing page //
    2023-07-29

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

OpenCV features and specs

No features have been listed yet.

DBGallery videos

DBGallery Benefits Overview

More videos:

  • Review - Four Stages of Opening Access to DBGallery

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to DBGallery and OpenCV)
Digital Asset Management
100 100%
0% 0
Data Science And Machine Learning
Brand Management
100 100%
0% 0
Data Science Tools
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 OpenCV

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

OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...
Source: www.uubyte.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.

Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. It has been mentiond 50 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.

OpenCV mentions (50)

  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
  • Looking for a Windows auto-clicker with conditions
    You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 5 months ago
  • Looking to recreate a cool AI assistant project with free tools
    - [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
  • Looking to recreate a cool AI assistant project with free tools
    I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 10 months ago
  • What are the limits of blueprints?
    You also need C++ if you're going to do things which aren't built in as part of the engine. As an example if you're looking at using compute shaders, inbuilt native APIs such as a mobile phone's location services, or a third-party library such as OpenCV, then you're going to need C++. Source: 12 months ago
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What are some alternatives?

When comparing DBGallery and OpenCV, you can also consider the following products

Widen - Digital asset management (DAM) & content production

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

NumPy - NumPy is the fundamental package for scientific computing with Python