OpenCV VS Crayon

Compare OpenCV VS Crayon and see what are their differences

LibHunt

LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured

Contents:

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OpenCV

OpenCV is the world's biggest computer vision library

Crayon

Crayon market and competitive intelligence tools provide insights and inspiration for marketing, sales, and product management.

Landing page //
2023-07-29

Landing page //
2023-09-30

OpenCV

Website: opencv.org
Pricing URL: -
$ Details
Release Date: -

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Crayon

Website: crayon.co
Pricing URL: Official Crayon Pricing
$ Details
Release Date: 2014 January
Startup details
Country: United States
State: Massachusetts
City: Boston
Founder(s): John Osborne
Employees: 50 - 99

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OpenCV videos

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AI Courses by OpenCV.org

Crayon videos

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CRAYOLA CRAYONS MAKEUP REVIEW

Category Popularity

0-100% (relative to OpenCV and Crayon)

Crayon

Data Science And Machine Learning

100 100%

Data Science And Machine Learning

0% 0

Competitive Intelligence

0 0%

Competitive Intelligence

100% 100

Data Science Tools

100 100%

Data Science Tools

0% 0

Competitor Research

0 0%

Competitor Research

100% 100

User comments

Share your experience with using OpenCV and Crayon. For example, how are they different and which one is better?

Reviews

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

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.

Source: www.labellerr.com

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.

Source: towardsdatascience.com

Crayon Reviews

Top 10 Digital Whiteboard Software for Team Collaboration

Just like the Paint app on Windows, Crayon allows you to click and drag on the blank canvas to start drawing. You can also double-click anywhere to open a text box to type in. Crayon is one of the simplest digital whiteboards out there and is perfect for those quick and random brainstorming sessions.

Source: blog.bit.ai

Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. It has been mentiond 52 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.

OpenCV mentions (52)

Essential Deep Learning Checklist: Best Practices Unveiled
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 22 days ago
FridgeBot — GPT-4o shopping list automation
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 2 months 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 / 7 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: 7 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