Basic ImageAI repo stats
10 days ago

OlafenwaMoses/ImageAI is an open source project licensed under MIT License which is an OSI approved license.

ImageAI Alternatives

Similar projects and alternatives to ImageAI

  • GitHub repo OpenCV

    Open Source Computer Vision Library

  • GitHub repo Keras

    Deep Learning for humans

  • GitHub repo johnny-five

    JavaScript Robotics and IoT programming framework, developed at Bocoup.

  • GitHub repo examples

    TensorFlow examples (by tensorflow)

  • GitHub repo ROS

    Core ROS packages

  • GitHub repo yarp

    YARP - Yet Another Robot Platform

  • GitHub repo video_stream_opencv

    A package to open video streams and publish them in ROS using the opencv videocapture mechanism

  • GitHub repo teleop_tools

    A set of generic teleoperation tools for any robot.

NOTE: The number of mentions on this list indicates mentions on common posts. Hence, a higher number means a better ImageAI alternative or higher similarity.


Posts where ImageAI has been mentioned. We have used some of these posts to build our list of alternatives and similar projects - the last one was on 2021-04-04.
  • Robot Systems: Software Stack Overview | 2021-04-04
    Image AI
  • Is there a way to use Python to interact with an already opened web page?
    Yo good question, my first thought was image recognition so something like this ( and and then some other stuff so it is able to find the search bar, click on it, and then input the text. Or you could use image recognition to copy the URL and then open up a Selenium instance from there.
  • [Question] Is openCV the righ tool for this job? Trying to identify parts of same shape but with different markings and colors. | 2021-02-18
    Use a pre-trained model such as YOLOv3 to feed datasets into for Image recognition so model can learn what you want then instead of using Opencv to run model for image recognition you could use ImageAi
  • Exploiting Someone Exploiting The Market
    To train the model, you can run the This repo has all the information regarding training of the model. The model will be stored at doge-identification->models
  • Object recognition