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Scikit Image VS Clarifai

Compare Scikit Image VS Clarifai and see what are their differences

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Scikit Image logo Scikit Image

scikit-image is a collection of algorithms for image processing.

Clarifai logo Clarifai

The World's AI
  • Scikit Image Landing page
    Landing page //
    2023-09-13
  • Clarifai Landing page
    Landing page //
    2023-10-01

Clarifai is a leading deep learning AI platform for computer vision, natural language processing and automatic speech recognition. We help enterprises and public sector organizations transform unstructured images, video, text and audio data into structured data, significantly faster and more accurately than humans would be able to do on their own. Our technology is used across many industries including E-commerce, Defense, Retail, Manufacturing, and more.

Our platform is powered by state-of-the-art machine learning and comes with the broadest repository of pre-trained out-of-the-box AI models to search, sort, and organize visual, textual, and audio data and help companies build turnkey AI solutions. Our pre-trained models can detect explicit content, faces, embedded objects and text within images and video as well as predict various attributes such as celebrities, food items, textures, colors, and more. An intuitive, feature-rich user interface makes it easy to use for all skill levels. We offer a free API to researchers and developers to get started building their own models in the efforts of using AI to help the greater good.

Scikit Image features and specs

  • Open Source
    Scikit-Image is open-source and free to use, making it accessible for individuals and organizations without licensing costs.
  • Integration with NumPy
    Scikit-Image is built on top of NumPy, allowing it to seamlessly integrate with a wide range of scientific Python libraries for efficient data processing.
  • Comprehensive Documentation
    The library offers extensive and well-documented resources, tutorials, and examples that help users to understand and implement various image processing tasks.
  • Wide Range of Algorithms
    It provides a large set of optimized algorithms for common image processing tasks like filtering, segmentation, and edge detection.
  • Active Community
    Scikit-Image has a supportive and active community, contributing to its constant growth and the addition of new features and improvements.

Possible disadvantages of Scikit Image

  • Performance Limitations
    For very large images or performance-intensive tasks, Scikit-Image may not match the performance of specialized image processing libraries written in lower-level languages.
  • Steep Learning Curve for Beginners
    While well-documented, the wide range of options and flexibility can be overwhelming for beginners starting with image processing.
  • Limited Real-Time Processing
    Scikit-Image is not designed for real-time image processing applications, which can be a drawback for tasks requiring quick processing times.
  • Dependency on Python
    Being a Python library, it's limited to Python's ecosystem, which means users who are not familiar with Python might face a learning barrier.

Clarifai features and specs

  • API
  • Artificial Intelligence
  • Workflow Management
  • Workflow Automation
  • AI Powered
  • AI Analytics
  • AI API
  • Automated workflow
  • Automating Tasks & Notifications

Scikit Image videos

+ Add

Image analysis in Python with scipy and scikit image 1 | SciPy 2014 | Juan Nunez Iglesias, Tony Yu

Clarifai videos

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What is Clarifai?

More videos:

  • Demo - The Clarifai AI Lifecycle Platform | Computer vision, NLP and automatic speech recognition

Category Popularity

0-100% (relative to Scikit Image and Clarifai)

Scikit Image

Clarifai

Data Science And Machine Learning
38 38%
Data Science And Machine Learning
62% 62
Image Analysis
0 0%
Image Analysis
100% 100
Software Libraries
100 100%
Software Libraries
0% 0
OCR
9 9%
OCR
91% 91

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Scikit Image and Clarifai

Scikit Image Reviews

Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
Scikit-Image is an open-source image processing library for the Python programming language. It provides several tools and algorithms for image processing and computer vision applications. Scikit-Image supports several image formats and provides functions for filtering, segmentation, and feature extraction.
Source: www.uubyte.com
Top Python Libraries For Image Processing In 2021
Scikit-Image Scikit-Image is another great open-source image processing library. It is useful in almost any computer vision task. It is among one of the most simple and straightforward libraries. Some parts of this library are written in Cython ( It is a superset of python programming language designed to make python faster as C language). It provides a large number of...
Source: www.analyticsvidhya.com

Clarifai Reviews

We have no reviews of Clarifai yet.
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Social recommendations and mentions

Based on our record, Scikit Image seems to be more popular. It has been mentiond 7 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.

Scikit Image mentions (7)

  • How to Estimate Depth from a Single Image
    We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / about 1 year 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 / over 1 year ago
  • Is it possible to add a noise to an image in python?
    This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 2 years ago
  • A CLI that does simple image processing and also generates cool patterns
    Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: over 2 years ago
  • Color Matrices for scan correction
    There's probably something in scikit-image to do what you want, or close enough to build on. Source: about 3 years ago
View more

Clarifai mentions (0)

We have not tracked any mentions of Clarifai yet. Tracking of Clarifai recommendations started around Mar 2021.

What are some alternatives?

When comparing Scikit Image and Clarifai, you can also consider the following products

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

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

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

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

Microsoft Video API - Automatically extract metadata from video and audio files using Video Indexer. Improve the performance of your media content with Azure.

Kairos - Facial recognition & mood detection API

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