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Microsoft Computer Vision API VS TensorFlow

Compare Microsoft Computer Vision API VS TensorFlow 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.

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • Microsoft Computer Vision API Landing page
    Landing page //
    2023-01-29
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Microsoft Computer Vision API videos

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TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

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

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TensorFlow 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
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Social recommendations and mentions

TensorFlow might be a bit more popular than Microsoft Computer Vision API. We know about 7 links to it since March 2021 and only 6 links to Microsoft Computer Vision API. 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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TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 1 year ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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What are some alternatives?

When comparing Microsoft Computer Vision API and TensorFlow, you can also consider the following products

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

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

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

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

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

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.