HyzeACR / README.md

HyzeAI

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metadata

license: apache-2.0
datasets:
  - HyzeAI/HyzeACR-Dataset
language:
  - en
pipeline_tag: image-classification
tags:
  - HyzeAI
  - HyzeACR
  - HiteshV
  - MadeByKids
  - OpenSource
  - Space
  - Astronomy

HyzeACR

A lightweight image-classification model by HyzeAI

Chat with all models • HyzeACR (Web Demo)

The Live Demo

Go to https://hyzeacr.netlify.app

What This Project Does

This AI system classifies space related images into the following categories:

Moons
Planets
Galaxies
Nebulae

It supports: - Image based classification

How It Works

A trained machine learning model is loaded in the browser using TensorFlow.js
Any image of a Moon, Planet, Nebulae, or a Galaxy is uploaded to the model
The model predicts the most likely space object
The predictions are displayed

How to use

The easiest way to use the model is by using the web demo at https://hyzeacr.netlify.app (The model is hosted with Google Cloud)
Install a local TensorFlow/Keras environment
Run this command pip install tensorflow numpy
Next write a python script to run the model

Tech Stack

TensorFlow.js (browser inference)
Keras (model training)
TensorFlow (ML framework)
JavaScript (frontend logic)
HTML (UI)

HyzeAI
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HyzeACR