Software Alternatives & Reviews

SimpleCV VS TFlearn

Compare SimpleCV VS TFlearn and see what are their differences

SimpleCV logo SimpleCV

SimpleCV is an open source framework for building computer vision applications.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • SimpleCV Landing page
    Landing page //
    2019-02-08
Not present

SimpleCV videos

installation of simplecv

TFlearn videos

Face Recognition using Deep Learning | Convolutional-Neural-Network | TensorFlow | TfLearn

Category Popularity

0-100% (relative to SimpleCV and TFlearn)
Data Science And Machine Learning
OCR
37 37%
63% 63
Image Analysis
100 100%
0% 0
Machine Learning
34 34%
66% 66

User comments

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Reviews

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

SimpleCV Reviews

7 Best Computer Vision Development Libraries in 2024
BoofCV, SimpleCV, CAFFE, Detectron2, and OpenVINO further contribute to the field of computer vision, each catering to specific needs and applications.
10 Python Libraries for Computer Vision
SimpleCV is designed to simplify computer vision tasks by providing an intuitive interface for image analysis and manipulation. It supports features like image filtering, feature detection, and interactive GUI-based tools for experimentation and visualization.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
SimpleCV is an open-source framework for building computer vision applications using Python. It provides several tools and interfaces for developing computer vision applications, such as image processing, camera access, and machine learning algorithms. SimpleCV also includes several pre-built modules for tracking, filtering, and segmentation.
Source: www.uubyte.com
5 Ultimate Python Libraries for Image Processing
SimpleCV is a python framework that uses computer vision libraries like OpenCV. This library is quite simple and easy to use and can be really helpful for quick prototyping.

TFlearn Reviews

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

Based on our record, TFlearn seems to be more popular. It has been mentiond 2 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.

SimpleCV mentions (0)

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

TFlearn mentions (2)

  • Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
    TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / over 1 year ago
  • Base ball
    Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing SimpleCV and TFlearn, you can also consider the following products

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

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

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

Clarifai - The World's AI

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

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.