Software Alternatives & Reviews

Teachable Machine VS OpenCV

Compare Teachable Machine VS OpenCV and see what are their differences

Teachable Machine logo Teachable Machine

Easily create machine learning models for your apps, no coding required.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Teachable Machine Landing page
    Landing page //
    2022-12-05
  • OpenCV Landing page
    Landing page //
    2023-07-29

Teachable Machine videos

Teachable Machine 2.0: Making AI easier for everyone

More videos:

  • Review - Image Prediction with Tensorflow JS on simple REACT App | Google's Teachable Machine

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Teachable Machine and OpenCV)
Data Science And Machine Learning
Data Dashboard
100 100%
0% 0
Data Science Tools
5 5%
95% 95
AI
100 100%
0% 0

User comments

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Reviews

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

Teachable Machine Reviews

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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

Teachable Machine might be a bit more popular than OpenCV. We know about 55 links to it since March 2021 and only 50 links to OpenCV. 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.

Teachable Machine mentions (55)

  • Ask HN: Tool(s) to calculate horse hoof angles
    Not sure if I've seen anything of the sort, seems rather specific. Maybe try a Teachable Machine project? https://teachablemachine.withgoogle.com/. - Source: Hacker News / 22 days ago
  • What is Machine Learning?
    Train a computer to recognize your images, sounds, and poses. Use this resource to gain a better understanding. - Source: dev.to / 5 months ago
  • Building Simple and Customizable Image Classifier with Teachable Machine and Python
    We will create an machine learning model that can classify Arabic and English books. To collect, train, and test data, we will use Teachable Machine from Google. - Source: dev.to / 8 months ago
  • SOOO...where should i learn machine learning for free??
    a lot of places! But for a high schooler, better to focus at what you want to do first. Or if you still haven't gotten any idea, try a simple explanation on what ml is without the math on youtube and tinker around a no code machine learning platform like https://teachablemachine.withgoogle.com/. Source: 12 months ago
  • Which tools to use for my project?
    The principle is roughly the same as it is possible with teachablemachine.withgoogle.com. Source: 12 months ago
View more

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: 11 months ago
View more

What are some alternatives?

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

Google Cloud Machine Learning - Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.

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

Amazon Machine Learning - Machine learning made easy for developers of any skill level

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

AngryTools Online Gradient Generator - Angrytools - Online CSS Gradient Generater interface to generate cross browser CSS gradient code as well as Android gradient code. generator produce linear or radial gradients that can be used in your web page design or android apps.

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