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FakeClients VS OpenCV

Compare FakeClients VS OpenCV and see what are their differences

FakeClients logo FakeClients

Practise logo design using random generated client briefs

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • FakeClients Landing page
    Landing page //
    2023-06-10

FakeClients.com is an easy-to-use, free tool for beginning logo designers to practice their logo design skills. Using the logo design brief generator you can generate prompts that you can work on as if they were real clients. Use these prompts to practice, fill up your portfolio or prepare for a job interview. To generate your first prompt, simply click the "Start" button. A randomly generated design brief will be generated for you. Because of the huge amount of potential combinations, no brief is the same. Click the button as much as you want until you get a design brief you would like to work on. Try to work on the fake client briefs just like you would when working on a real client's request and go through your whole design process to get as much practice and the best result.

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

FakeClients

$ Details
freemium $10.0 / Monthly (Pro)
Platforms
Browser Android Web Google Chrome
Release Date
2018 February

FakeClients features and specs

  • Free Trial: Yes
  • Android App: Yes
  • Clean UI: Yes

OpenCV features and specs

No features have been listed yet.

FakeClients videos

No FakeClients videos yet. You could help us improve this page by suggesting one.

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OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to FakeClients and OpenCV)
Design Tools
100 100%
0% 0
Data Science And Machine Learning
Logo Maker
100 100%
0% 0
Data Science Tools
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare FakeClients and OpenCV

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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 should be more popular than FakeClients. It has been mentiond 51 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.

FakeClients mentions (10)

  • Advice for a lost high schooler :’)
    So, assuming you’re going to apply to design programs, be proactive and start designing stuff on your own. You can find design briefs at goodbrief.io, fakeclients.com, and sharpen.design. Source: about 1 year ago
  • Are design competitions worth competing and investing in?
    Are design contests worth entering? If your hope is that a company will see your contest entry and decide to hire you, probably not. Contests may be helpful, though more for developing a designer's skills and giving them a winning or placing entry that they can use to promote as opposed to gaining organic notoriety from the contest itself. It is true, though, that being able to promote oneself as an... Source: about 2 years ago
  • Portfolio Advice for New Designers
    • use sites like https://dailylogochallenge.com, https://goodbrief.io, https://www.briefbox.me, and https://fakeclients.com to develop projects for fictional clients (more on which types of fictional clients and pieces to include is in the next section). Source: about 2 years ago
  • what makes a good graphic design portfolio?
    Work/Portfolio – Basics• do not overload your portfolio with too much of one type of client, application/use (brochure, signage, packaging, etc.), or style – showing a hiring manager your ability to adapt to the needs of different types of clients and projects is a key in getting hired• avoid rebranding existing companies, especially large, household name entities• thumbnails tend to work best when they are filled... Source: about 2 years ago
  • I’m a beginner in logo design, how would you guys continue?
    But yeah, logos should fill a need, send a message. Try generating a brief on https://fakeclients.com and test your design skills from the description it gives you. Source: over 2 years ago
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OpenCV mentions (51)

  • FridgeBot — GPT-4o shopping list automation
    Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 21 days ago
  • 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 / 6 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: 6 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: 11 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: 11 months ago
View more

What are some alternatives?

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

GoodBrief - A random generator for design briefs.

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

Briefbox - Quick design briefs for aspiring creatives

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

Sharpen Design Generator - Challenge yourself with original design prompts

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