Software Alternatives & Reviews

OpenCV VS Pics.io

Compare OpenCV VS Pics.io and see what are their differences

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Pics.io logo Pics.io

Pics.io is a cloud service that people can use to manage their creative content and files, collaborate with their peers on this content, and then share it with their clients. Read more about Pics.io.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Pics.io Landing page
    Landing page //
    2018-09-29

Pics.io is an all-in-one digital asset management solution for distributed teams. Using Pics.io DAM you can have all your digital assets centralized, easily accessible at any time, and simple to search and share for distributed teams to work productively. The software works on top of G Suite and Amazon S3, transforming these storages into a searchable and shareable digital library.

Pics.io

Website
pics.io
$ Details
paid Free Trial
Platforms
Cloud Web Android iOS REST API Shopify Wordpress Zoho
Release Date
2012 December

OpenCV features and specs

No features have been listed yet.

Pics.io features and specs

  • Collaboration and Versioning: Yes
  • IPTC, XMP, EXIF metadata support: Yes
  • Roles and Permissions: Yes
  • Analytics, Reporting, Activity log: Yes
  • Whitelabeling and Branding: Yes
  • CSV import/export: Yes
  • Websites with templates: Yes
  • Automatic AI keywording: Yes
  • Custom fields: Yes
  • SSO and 2FA: Yes
  • REST API and Webhooks: Yes
  • Free trial and Webinars: Yes
  • Customer success manager: Yes
  • Personal support engineer : Yes
  • Face Recognition: Yes

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Pics.io videos

RocketBrand Reviews Pics.io Digital Asset Management

More videos:

  • Tutorial - pics.io Tutorial - Using Google Drive File Stream to Import Files
  • Tutorial - How to work with assets (colors, stars, flags)
  • Tutorial - How to work with metadata

Category Popularity

0-100% (relative to OpenCV and Pics.io)
Data Science And Machine Learning
Digital Asset Management
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Marketing Platform
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 OpenCV and Pics.io

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.

Pics.io Reviews

We have no reviews of Pics.io yet.
Be the first one to post

Social recommendations and mentions

Based on our record, OpenCV seems to be a lot more popular than Pics.io. While we know about 50 links to OpenCV, we've tracked only 1 mention of Pics.io. 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.

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: 9 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: 9 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
View more

Pics.io mentions (1)

  • Can anybody recommend a non-cloud database solution to keep track of your footage?
    I am looking for a way to catalog a huge collection of short clips I use to build my videos. I need to be able to find clips based on keywords in different categories. For example if I need a funny (mood) transition (function), etc. I was looking at pics.io which is an online cloud-based solution. I have a storage server I would like to use on my lan and not an online cloud-based setup. I could build my own... Source: over 2 years ago

What are some alternatives?

When comparing OpenCV and Pics.io, you can also consider the following products

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.

Venngage - Join over 1 million people creating their own professional graphics with our easy to use infographic maker. Sign up for free and choose from 1000+ infographic templates.

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

Brandfolder - One link to all your marketing assets. Brandfolder is your convenient source to visually organize, quickly find and easily share all your final brand assets.