SqueezeNet Image Prediction Playground for Windows

Name: SqueezeNet Image Prediction Playground
Rating: 4 (1 reviews)
Author: Specpal

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Key Details of SqueezeNet Image Prediction Playground

Select a picture and get top-10 possible results of the objects detected with percentage probability.
Last updated on February 5, 2018
There have been 8 updates
Virus scan status:
Unscannable (this software program could not be scanned for compliance. Its safety status is unknown, and caution is advised)

Developer’s Description

By Specpal

Select a picture and get top-10 possible results of the objects detected with percentage probability.

The SqueezeNet Image Prediction Playground is a project that is part of the dream of a team of Moses Olafenwa and John Olafenwa to bring current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users. This project is the first step in what we hope will become mainstream application in modern technology in which Computers, Smartphones, Edge Devices and Systems will have in-built state-of-the-art Machine Learning and Artificial Intelligence capabilities without having to connect to cloud based services.

This is a series of Windows programs built using pure python libraries and code. Each of the programs is a user-friendly demo of Image Classification powered by a specific image classification model of popular Machine Learning Algorithms trained on the ImageNet (1000 object classes ) dataset. Each program provides a user interface where users can select a picture from their Windows system folder while the program process the selected picture and give top-10 possible results of the objects detected with percentage probability per each result.