📡 Satellighte Documentation

Satellite Image Classification

Satellighte is an image classification library that consist state-of-the-art deep learning methods. It is a combination of the words ‘Satellite’ and ‘Light’, and its purpose is to establish a light structure to classify satellite images, but to obtain robust results.

📡 Pypi:

satellighte

🛸 Version:

0.2.5

🛰 Pages:

• 🛩️ Project Page

• ✈️ Github Page

• 🚀 Demo Page

Getting Started

• About The Satellighte
• Prerequisites
• Installation
  • From Pypi
  • From Source
• APIs
  • Get Available Models
  • Get Available Versions for a Spesific Model
  • Get Latest Version for a Spesific Model
  • Get Pretrained Model
  • Get Model with Random Weight Initialization
  • Get Pretrained Arch Model
  • Get Arch Model with Random Weight Initialization
• Architectures
  • MobileNetV2
  • EfficientNet
  • ResNet
  • Citation
• Datasets
  • EuroSAT
  • RESISC45
• Deployments
  • FastAPI
  • ONNX
  • DeepSparse
  • TensorFlow
  • TensorFlow Lite

Satellighte API

• satellighte.api
• satellighte.Classifier
• satellighte.datasets

Deployment

• FastAPI Service
• Onnx Export
• Onnx Runtime
• Deepsparse Runtime
• Ttensorflow_exportensorflow Export
• Tensorflow Runtime
• Tensorflow Lite Export
• Tensorflow Lite Runtime