Software Alternatives & Reviews

Microsoft Computer Vision API VS Scikit-learn

Compare Microsoft Computer Vision API VS Scikit-learn and see what are their differences

Microsoft Computer Vision API logo Microsoft Computer Vision API

Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Microsoft Computer Vision API Landing page
    Landing page //
    2023-01-29
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Microsoft Computer Vision API videos

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Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

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  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Microsoft Computer Vision API and Scikit-learn)
Image Analysis
100 100%
0% 0
Data Science And Machine Learning
OCR
100 100%
0% 0
Data Science Tools
0 0%
100% 100

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Reviews

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Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Microsoft Computer Vision API. It has been mentiond 28 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.

Microsoft Computer Vision API mentions (6)

  • Bing allows visual inputs now
    Https://azure.microsoft.com/en-us/products/cognitive-services/vision-services/ It's this However, the CODENAME is Chameleon Sorry for the confusion. Source: 11 months ago
  • Markdown Accessibility Github Action
    This action searches through all markdown files in all folders. If an image does not have an alt text, the action uses the microsoft/git-base-coco model from HuggingFace to generate alt text. The end user can also create and use their Azure Computer Vision resource for alt text generation by providing their key and endpoint as repository secrets. When using the Azure Computer Vision Resource, they can also specify... - Source: dev.to / 12 months ago
  • I'm looking for a free tier cloud provider for hosting Django and Angular
    Azure Cognitive Services for Vision? https://azure.microsoft.com/en-us/products/cognitive-services/vision-services/. Source: about 1 year ago
  • https://www.infoq.com/news/2022/10/azure-computer-vision-api/
    Recently Microsoft announced the public preview of a new version of the Computer Vision Image Analysis API, making all visual image features ranging from Optical Character Recognition (OCR) to object detection, available through a single endpoint.  This is the 4th version of the API, and more details are disclosed in the news item: https://www.infoq.com/news/2022/10/azure-computer-vision-api/. Source: over 1 year ago
  • angularday report
    Very interesting topic about integration of Microsoft Cognitive Services Computer Vision APIs with Angular app. While there was no talk about some specific Angular techniques, this speech showed how easy it could be to implement a text recognition feature by using easy-to-use services provided by Azure Cloud. I was impressed. Now I am familiar with following aspects:. - Source: dev.to / over 2 years ago
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Scikit-learn mentions (28)

  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 2 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 11 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: 12 months ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
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What are some alternatives?

When comparing Microsoft Computer Vision API and Scikit-learn, you can also consider the following products

OpenCV - OpenCV is the world's biggest computer vision library

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

Amazon Rekognition - Add Amazon's advanced image analysis to your applications.

Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.

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

Clarifai - The World's AI